From ee95307230a339013689a6d8ba2c50f6392e2dd8 Mon Sep 17 00:00:00 2001 From: julian-evers <133691040+julian-evers@users.noreply.github.com> Date: Fri, 13 Oct 2023 16:37:37 +0200 Subject: [PATCH 1/5] git --- .gitignore | 1 + examples/Potentials and capacities.ipynb | 671 +++++++++++++++++++++++ 2 files changed, 672 insertions(+) create mode 100644 examples/Potentials and capacities.ipynb diff --git a/.gitignore b/.gitignore index 5d101a1..bd1fd75 100644 --- a/.gitignore +++ b/.gitignore @@ -102,6 +102,7 @@ celerybeat.pid *.sage.py # Environments +myenv/ .env .venv env/ diff --git a/examples/Potentials and capacities.ipynb b/examples/Potentials and capacities.ipynb new file mode 100644 index 0000000..a519773 --- /dev/null +++ b/examples/Potentials and capacities.ipynb @@ -0,0 +1,671 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Stack design" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This example notebook shows how to supply parameters to a TEA class, how to plot mass- and volume loadings, how to estimate energy densities and how to loop over different parameter settings." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's generate TEA classes and loading plots\n", + "\n", + "A good way to create an electrode stack cell parameter-set is to start with a base parameter-set, containing the desired active materials, and update parameter such as densities with inputs for the TEA class.\n", + "\n", + "It is also possible to create parameter-sets from the bottom-up, e.g. for non-lithium chemistries, however then the key benefit of the library: PyBaMM may not work with the parameter-set. PyBaMM parameter-sets can also directly be used, for the loadings plot usally active material- and electrolyte densities are necessary inputs though.\n", + "\n", + "Below one \"design\" input-set, one \"chemistry\" input-set and one \"only_electrolyte_density\" input-set are defined to create four TEA classes, one with the \"Chen2020\" parameter-set, one without a base parameter-set and two classes having the same \"design\" input-set, but different active material related base parameter-sets." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Input_only\n", + "Initial parameter_values thicknesses: 8e-05 None\n", + "Initial merged thicknesses: 8e-05 None\n", + "Initial pava thicknesses: 8e-05 None\n", + "Updated pava thicknesses: 8e-05 7.71871150928119e-05\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:121: UserWarning: Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\n", + " warnings.warn(\"Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\")\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'Negative electrode electrolyte volume fraction': 0.33, 'Negative electrode active material volume fraction': 0.6157008697379592, 'Negative electrode inactive material volume fraction': 0.054299130262040696, 'Negative electrode dry volume fraction': 1, 'Negative electrode volume fraction': 1, 'Positive electrode electrolyte volume fraction': 0.33, 'Positive electrode active material volume fraction': 0.5882926829268291, 'Positive electrode inactive material volume fraction': 0.0817073170731708, 'Positive electrode dry volume fraction': 1, 'Positive electrode volume fraction': 1, 'Separator electrolyte volume fraction': 0.45, 'Separator material volume fraction': 0.55, 'Separator volume fraction': 1, 'Separator dry volume fraction': 1, 'Negative electrode electrolyte volume loading [uL.cm-2]': 2.6400000000000006, 'Negative electrode active material volume loading [uL.cm-2]': 4.925606957903675, 'Negative electrode inactive material volume loading [uL.cm-2]': 0.43439304209632557, 'Negative electrode dry volume loading [uL.cm-2]': 8.0, 'Negative electrode volume loading [uL.cm-2]': 8.0, 'Positive electrode electrolyte volume loading [uL.cm-2]': 2.547174798062793, 'Positive electrode active material volume loading [uL.cm-2]': 4.540861502533226, 'Positive electrode inactive material volume loading [uL.cm-2]': 0.630675208685171, 'Positive electrode dry volume loading [uL.cm-2]': 7.7187115092811895, 'Positive electrode volume loading [uL.cm-2]': 7.7187115092811895, 'Separator electrolyte volume loading [uL.cm-2]': 1.125, 'Separator material volume loading [uL.cm-2]': 1.3750000000000002, 'Separator volume loading [uL.cm-2]': 2.5, 'Separator dry volume loading [uL.cm-2]': 2.5, 'Negative current collector volume loading [uL.cm-2]': 1.2, 'Positive current collector volume loading [uL.cm-2]': 1.5999999999999999, 'Negative electrode electrolyte density [mg.uL-1]': 1.276, 'Negative electrode density [mg.uL-1]': 1.8896886008697007, 'Negative electrode dry density [mg.uL-1]': 1.4686086008697008, 'Negative electrode inactive material density [mg.uL-1]': 1.3523316062176167, 'Negative electrode active material density [mg.uL-1]': 2.266, 'Positive electrode electrolyte density [mg.uL-1]': 1.276, 'Positive electrode density [mg.uL-1]': 3.3625434146341457, 'Positive electrode dry density [mg.uL-1]': 2.941463414634146, 'Positive electrode inactive material density [mg.uL-1]': 1.8000000000000032, 'Positive electrode active material density [mg.uL-1]': 4.75, 'Separator electrolyte density [mg.uL-1]': 1.276, 'Separator density [mg.uL-1]': 1.0945, 'Separator material density [mg.uL-1]': 0.9459999999999998, 'Separator dry density [mg.uL-1]': 0.5203, 'Negative current collector density [mg.uL-1]': 8.96, 'Positive current collector density [mg.uL-1]': 2.7, 'Negative electrode electrolyte mass loading [mg.cm-2]': 3.368640000000001, 'Negative electrode active material mass loading [mg.cm-2]': 11.161425366609727, 'Negative electrode inactive material mass loading [mg.cm-2]': 0.5874434403478808, 'Negative electrode dry mass loading [mg.cm-2]': 11.748868806957606, 'Negative electrode mass loading [mg.cm-2]': 15.117508806957606, 'Positive electrode electrolyte mass loading [mg.cm-2]': 3.250195042328124, 'Positive electrode active material mass loading [mg.cm-2]': 21.569092137032825, 'Positive electrode inactive material mass loading [mg.cm-2]': 1.1352153756333099, 'Positive electrode dry mass loading [mg.cm-2]': 22.70430751266613, 'Positive electrode mass loading [mg.cm-2]': 25.954502554994253, 'Separator electrolyte mass loading [mg.cm-2]': 1.4355, 'Separator material mass loading [mg.cm-2]': 1.30075, 'Separator mass loading [mg.cm-2]': 2.73625, 'Separator dry mass loading [mg.cm-2]': 1.3007499999999999, 'Negative current collector mass loading [mg.cm-2]': 10.752, 'Positive current collector mass loading [mg.cm-2]': 4.32}\n", + "LFP\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 8e-05 8.1e-05\n", + "Initial pava thicknesses: 8e-05 8.1e-05\n", + "Updated pava thicknesses: 3.842472431215051e-05 8.1e-05\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:118: UserWarning: Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\n", + " warnings.warn(\"Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\")\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'Negative electrode electrolyte volume fraction': 0.33, 'Negative electrode active material volume fraction': 0.6157008697379592, 'Negative electrode inactive material volume fraction': 0.054299130262040696, 'Negative electrode dry volume fraction': 1, 'Negative electrode volume fraction': 1, 'Positive electrode electrolyte volume fraction': 0.33, 'Positive electrode active material volume fraction': 0.6061904761904761, 'Positive electrode inactive material volume fraction': 0.06380952380952387, 'Positive electrode dry volume fraction': 1, 'Positive electrode volume fraction': 1, 'Separator electrolyte volume fraction': 0.45, 'Separator material volume fraction': 0.55, 'Separator volume fraction': 1, 'Separator dry volume fraction': 1, 'Negative electrode electrolyte volume loading [uL.cm-2]': 1.268015902300967, 'Negative electrode active material volume loading [uL.cm-2]': 2.3658136178432376, 'Negative electrode inactive material volume loading [uL.cm-2]': 0.20864291107084626, 'Negative electrode dry volume loading [uL.cm-2]': 3.842472431215051, 'Negative electrode volume loading [uL.cm-2]': 3.842472431215051, 'Positive electrode electrolyte volume loading [uL.cm-2]': 2.6730000000000005, 'Positive electrode active material volume loading [uL.cm-2]': 4.910142857142857, 'Positive electrode inactive material volume loading [uL.cm-2]': 0.5168571428571433, 'Positive electrode dry volume loading [uL.cm-2]': 8.1, 'Positive electrode volume loading [uL.cm-2]': 8.1, 'Separator electrolyte volume loading [uL.cm-2]': 1.125, 'Separator material volume loading [uL.cm-2]': 1.3750000000000002, 'Separator volume loading [uL.cm-2]': 2.5, 'Separator dry volume loading [uL.cm-2]': 2.5, 'Negative current collector volume loading [uL.cm-2]': 1.2, 'Positive current collector volume loading [uL.cm-2]': 1.5999999999999999, 'Negative electrode electrolyte density [mg.uL-1]': 1.276, 'Negative electrode density [mg.uL-1]': 1.8896886008697007, 'Negative electrode dry density [mg.uL-1]': 1.4686086008697008, 'Negative electrode inactive material density [mg.uL-1]': 1.3523316062176167, 'Negative electrode active material density [mg.uL-1]': 2.266, 'Positive electrode electrolyte density [mg.uL-1]': 1.276, 'Positive electrode density [mg.uL-1]': 2.7182228571428566, 'Positive electrode dry density [mg.uL-1]': 2.2971428571428567, 'Positive electrode inactive material density [mg.uL-1]': 1.8000000000000023, 'Positive electrode active material density [mg.uL-1]': 3.6, 'Separator electrolyte density [mg.uL-1]': 1.276, 'Separator density [mg.uL-1]': 1.0945, 'Separator material density [mg.uL-1]': 0.9459999999999998, 'Separator dry density [mg.uL-1]': 0.5203, 'Negative current collector density [mg.uL-1]': 8.96, 'Positive current collector density [mg.uL-1]': 2.7, 'Negative electrode electrolyte mass loading [mg.cm-2]': 1.617988291336034, 'Negative electrode active material mass loading [mg.cm-2]': 5.360933658032777, 'Negative electrode inactive material mass loading [mg.cm-2]': 0.2821544030543569, 'Negative electrode dry mass loading [mg.cm-2]': 5.643088061087134, 'Negative electrode mass loading [mg.cm-2]': 7.261076352423167, 'Positive electrode electrolyte mass loading [mg.cm-2]': 3.410748000000001, 'Positive electrode active material mass loading [mg.cm-2]': 17.676514285714283, 'Positive electrode inactive material mass loading [mg.cm-2]': 0.9303428571428592, 'Positive electrode dry mass loading [mg.cm-2]': 18.606857142857137, 'Positive electrode mass loading [mg.cm-2]': 22.01760514285714, 'Separator electrolyte mass loading [mg.cm-2]': 1.4355, 'Separator material mass loading [mg.cm-2]': 1.30075, 'Separator mass loading [mg.cm-2]': 2.73625, 'Separator dry mass loading [mg.cm-2]': 1.3007499999999999, 'Negative current collector mass loading [mg.cm-2]': 10.752, 'Positive current collector mass loading [mg.cm-2]': 4.32}\n", + "NMC\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 8e-05 7.56e-05\n", + "Initial pava thicknesses: 8e-05 7.56e-05\n", + "Updated pava thicknesses: 9.630296170019713e-05 7.56e-05\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'Negative electrode electrolyte volume fraction': 0.33, 'Negative electrode active material volume fraction': 0.6157008697379592, 'Negative electrode inactive material volume fraction': 0.054299130262040696, 'Negative electrode dry volume fraction': 1, 'Negative electrode volume fraction': 1, 'Positive electrode electrolyte volume fraction': 0.33, 'Positive electrode active material volume fraction': 0.5882926829268291, 'Positive electrode inactive material volume fraction': 0.0817073170731708, 'Positive electrode dry volume fraction': 1, 'Positive electrode volume fraction': 1, 'Separator electrolyte volume fraction': 0.45, 'Separator material volume fraction': 0.55, 'Separator volume fraction': 1, 'Separator dry volume fraction': 1, 'Negative electrode electrolyte volume loading [uL.cm-2]': 3.1779977361065055, 'Negative electrode active material volume loading [uL.cm-2]': 5.929381727715275, 'Negative electrode inactive material volume loading [uL.cm-2]': 0.522916706197932, 'Negative electrode dry volume loading [uL.cm-2]': 9.630296170019713, 'Negative electrode volume loading [uL.cm-2]': 9.630296170019713, 'Positive electrode electrolyte volume loading [uL.cm-2]': 2.4947999999999997, 'Positive electrode active material volume loading [uL.cm-2]': 4.4474926829268275, 'Positive electrode inactive material volume loading [uL.cm-2]': 0.6177073170731713, 'Positive electrode dry volume loading [uL.cm-2]': 7.56, 'Positive electrode volume loading [uL.cm-2]': 7.56, 'Separator electrolyte volume loading [uL.cm-2]': 1.125, 'Separator material volume loading [uL.cm-2]': 1.3750000000000002, 'Separator volume loading [uL.cm-2]': 2.5, 'Separator dry volume loading [uL.cm-2]': 2.5, 'Negative current collector volume loading [uL.cm-2]': 1.2, 'Positive current collector volume loading [uL.cm-2]': 1.5999999999999999, 'Negative electrode electrolyte density [mg.uL-1]': 1.276, 'Negative electrode density [mg.uL-1]': 1.8896886008697007, 'Negative electrode dry density [mg.uL-1]': 1.4686086008697008, 'Negative electrode inactive material density [mg.uL-1]': 1.3523316062176167, 'Negative electrode active material density [mg.uL-1]': 2.266, 'Positive electrode electrolyte density [mg.uL-1]': 1.276, 'Positive electrode density [mg.uL-1]': 3.3625434146341457, 'Positive electrode dry density [mg.uL-1]': 2.941463414634146, 'Positive electrode inactive material density [mg.uL-1]': 1.8000000000000032, 'Positive electrode active material density [mg.uL-1]': 4.75, 'Separator electrolyte density [mg.uL-1]': 1.276, 'Separator density [mg.uL-1]': 1.0945, 'Separator material density [mg.uL-1]': 0.9459999999999998, 'Separator dry density [mg.uL-1]': 0.5203, 'Negative current collector density [mg.uL-1]': 8.96, 'Positive current collector density [mg.uL-1]': 2.7, 'Negative electrode electrolyte mass loading [mg.cm-2]': 4.055125111271901, 'Negative electrode active material mass loading [mg.cm-2]': 13.435978995002813, 'Negative electrode inactive material mass loading [mg.cm-2]': 0.7071567892106749, 'Negative electrode dry mass loading [mg.cm-2]': 14.14313578421349, 'Negative electrode mass loading [mg.cm-2]': 18.19826089548539, 'Positive electrode electrolyte mass loading [mg.cm-2]': 3.1833647999999997, 'Positive electrode active material mass loading [mg.cm-2]': 21.12559024390243, 'Positive electrode inactive material mass loading [mg.cm-2]': 1.1118731707317102, 'Positive electrode dry mass loading [mg.cm-2]': 22.237463414634142, 'Positive electrode mass loading [mg.cm-2]': 25.42082821463414, 'Separator electrolyte mass loading [mg.cm-2]': 1.4355, 'Separator material mass loading [mg.cm-2]': 1.30075, 'Separator mass loading [mg.cm-2]': 2.73625, 'Separator dry mass loading [mg.cm-2]': 1.3007499999999999, 'Negative current collector mass loading [mg.cm-2]': 10.752, 'Positive current collector mass loading [mg.cm-2]': 4.32}\n", + "Chen2020\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 8.52e-05 7.56e-05\n", + "Initial pava thicknesses: 8.52e-05 7.56e-05\n", + "Warning: 'Negative electrode active material density [kg.m-3]' and 'Negative electrode dry density [kg.m-3]' have been calulated from;'Electrolyte density [kg.m-3]', 'Negative electrode porosity' and 'Negative electrode density [kg.m-3]'\n", + "Warning: 'Positive electrode active material density [kg.m-3]' and 'Positive electrode dry density [kg.m-3]' have been calulated from;'Electrolyte density [kg.m-3]', 'Positive electrode porosity' and 'Positive electrode density [kg.m-3]'\n", + "Updated pava thicknesses: 8.52e-05 7.56e-05\n", + "Warning: Negative electrode inactive material volume fraction is 0, Negative electrode inactive material density is set to 0\n", + "Warning: Positive electrode inactive material volume fraction is 0, Positive electrode inactive material density is set to 0\n" + ] + }, + { + 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Volume loading [uL.cm-2]Mass loading [mg.cm-2]Density [mg.uL-1]
Negative electrode electrolyte2.13002.7178801.276000
Negative electrode active material6.39008.5498201.338000
Negative electrode inactive material0.00000.0000000.000000
Negative electrode dry8.520011.3997601.338000
Negative electrode8.520014.1176401.657000
Positive electrode electrolyte2.53263.2315981.276000
Positive electrode active material5.027414.2503662.834540
Positive electrode inactive material0.00000.0000000.000000
Positive electrode dry7.560021.4291222.834540
Positive electrode7.560024.6607203.262000
Separator electrolyte0.56400.7196641.276000
Separator material0.6360-0.243264-0.382491
Separator1.20000.4764000.397000
Separator dry1.2000-0.243264-0.202720
Negative current collector1.200010.7520008.960000
Positive current collector1.60004.3200002.700000
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" + ], + "text/plain": [ + " Volume loading [uL.cm-2] \\\n", + "Negative electrode electrolyte 2.1300 \n", + "Negative electrode active material 6.3900 \n", + "Negative electrode inactive material 0.0000 \n", + "Negative electrode dry 8.5200 \n", + "Negative electrode 8.5200 \n", + "Positive electrode electrolyte 2.5326 \n", + "Positive electrode active material 5.0274 \n", + "Positive electrode inactive material 0.0000 \n", + "Positive electrode dry 7.5600 \n", + "Positive electrode 7.5600 \n", + "Separator electrolyte 0.5640 \n", + "Separator material 0.6360 \n", + "Separator 1.2000 \n", + "Separator dry 1.2000 \n", + "Negative current collector 1.2000 \n", + "Positive current collector 1.6000 \n", + "\n", + " Mass loading [mg.cm-2] \\\n", + "Negative electrode electrolyte 2.717880 \n", + "Negative electrode active material 8.549820 \n", + "Negative electrode inactive material 0.000000 \n", + "Negative electrode dry 11.399760 \n", + "Negative electrode 14.117640 \n", + "Positive electrode electrolyte 3.231598 \n", + "Positive electrode active material 14.250366 \n", + "Positive electrode inactive material 0.000000 \n", + "Positive electrode dry 21.429122 \n", + "Positive electrode 24.660720 \n", + "Separator electrolyte 0.719664 \n", + "Separator material -0.243264 \n", + "Separator 0.476400 \n", + "Separator dry -0.243264 \n", + "Negative current collector 10.752000 \n", + "Positive current collector 4.320000 \n", + "\n", + " Density [mg.uL-1] \n", + "Negative electrode electrolyte 1.276000 \n", + "Negative electrode active material 1.338000 \n", + "Negative electrode inactive material 0.000000 \n", + "Negative electrode dry 1.338000 \n", + "Negative electrode 1.657000 \n", + "Positive electrode electrolyte 1.276000 \n", + "Positive electrode active material 2.834540 \n", + "Positive electrode inactive material 0.000000 \n", + "Positive electrode dry 2.834540 \n", + "Positive electrode 3.262000 \n", + "Separator electrolyte 1.276000 \n", + "Separator material -0.382491 \n", + "Separator 0.397000 \n", + "Separator dry -0.202720 \n", + "Negative current collector 8.960000 \n", + "Positive current collector 2.700000 " + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#%pip install pybamm\n", + "import pybamm\n", + "from pybamm_tea import tea\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "### create input-sets\n", + "\n", + "# input only\n", + "only_electrolyte_density = {\n", + " \"Electrolyte density [kg.m-3]\": 1276, # LiPF6 in EC:EMC 3:7 + 2% VC\n", + "# \"Separator material density [kg.m-3]\": 946, # PP/PE\n", + "\n", + "}\n", + "\n", + "# stack design parameter\n", + "design = {\n", + " # Negative electrode\n", + " \"Theoretical n/p ratio\": 0.7, # instead of passing a thickness, one can also pass the ratio of theoretical maximal lithium content from the active material particles in both electrodes - not considering potential/stoichiometry windows or lithium/active material losses\n", + " \"Negative electrode porosity\": 0.33,\n", + " \"Negative electrode binder density [kg.m-3]\": (2 * 940 + 1600) / 3, # 2:1 CMC:SBR\n", + " \"Negative electrode conductive additive density [kg.m-3]\": 1800, # CB\n", + " \"Negative electrode binder dry mass fraction\": 0.03,\n", + " \"Negative electrode conductive additive dry mass fraction\": 0.02,\n", + " \n", + " # Separator and electrolyte\n", + " \"Separator thickness [m]\": 25e-6,\n", + " \"Separator porosity\": 0.45,\n", + " \"Separator material density [kg.m-3]\": 946, # PP/PE\n", + "\n", + " # Positive electrode \n", + " \"Positive electrode thickness [m]\": 80e-6,\n", + " \"Positive electrode porosity\": 0.33,\n", + " \"Positive electrode inactive material density [kg.m-3]\": 1800, # PVDF and CB\n", + " \"Positive electrode active material dry mass fraction\": 0.95,\n", + "\n", + " # Current collectors\n", + " \"Negative current collector thickness [m]\": 12e-6,\n", + " \"Negative current collector density [kg.m-3]\": 8960, # Cu\n", + " \"Positive current collector thickness [m]\": 16e-6,\n", + " \"Positive current collector density [kg.m-3]\": 2700, # Al\n", + "}\n", + "\n", + "# chemistry input without base parameter-set\n", + "chemistry = { \n", + " # Negative electrode - Graphite\n", + " \"Negative electrode active material density [kg.m-3]\": 2266, # Graphite\n", + " \"Negative electrode active material capacity [mA.h.g-1]\": 372, # refers to maximal concentration\n", + " \"Negative electrode minimum stoichiometry\": 0.02,\n", + " \"Negative electrode maximum stoichiometry\": 0.90,\n", + " \"Negative electrode average OCP [V]\": 0.1, # vs Li/Li+ | dependent on ocv curve if not set\n", + "\n", + " # Positive electrode - NMC604\n", + " \"Positive electrode active material density [kg.m-3]\": 4750,\n", + " \"Positive electrode active material capacity [mA.h.g-1]\": 275, # = 96485 / 3.6 / (6.9 + 0.6 * 58.7 + 0 * 54.9 + 0.4 * 58.9 + 2 * 16) | q [mAh.g-1] = F [C.mol-1] / 3.6 [C.mAh-1] / (M_Li+x*M_Ni+y*M_Mn+z*M_Co+2*M_O) [g.mol-1]\n", + " \"Positive electrode minimum stoichiometry\": 0.25,\n", + " \"Positive electrode maximum stoichiometry\": 0.90,\n", + " \"Positive electrode average OCP [V]\" : 3.8, # vs Li/Li+ | dependent on ocv curve if not set\n", + "\n", + " # Electrolyte\n", + " \"Electrolyte density [kg.m-3]\": 1276, # LiPF6 in EC:EMC 3:7\n", + "}\n", + "\n", + "# merge the design and chemistry dictionaries into a new dictionary that will be used as input for the TEA class\n", + "input_only = design.copy() # create a copy of the design dictionary\n", + "input_only.update(chemistry) # merge the chemistry dictionary into the new dictionary\n", + "\n", + "# graphite||nmc chemistry input with a base parameter-set\n", + "c_nmc = {\n", + " \"Negative electrode active material density [kg.m-3]\": 2266, # Graphite\n", + " \"Positive electrode active material density [kg.m-3]\": 4750, # NMC\n", + " \"Electrolyte density [kg.m-3]\": 1276, # LiPF6 in EC:EMC 3:7\n", + "}\n", + "c_nmc.update(design) # merge the design dictionary with nmc-chemistry input for the base parameter-set\n", + "\n", + "# graphite||lfp chemistry input with a base parameter-set\n", + "c_lfp = {\n", + " \"Negative electrode active material density [kg.m-3]\": 2266, # Graphite\n", + " \"Positive electrode active material density [kg.m-3]\": 3600, # LFP\n", + " \"Electrolyte density [kg.m-3]\": 1276, # LiPF6 in EC:EMC 3:7\n", + "}\n", + "c_lfp.update(design) # merge the design dictionary with the lfp-chemistry input for the base parameter-set\n", + "\n", + "# base parameter-sets\n", + "param_chen = pybamm.ParameterValues(\"Chen2020\")\n", + "param_c_lfp = pybamm.ParameterValues(\"Prada2013\")\n", + "\n", + "### create TEA classes and plot stack (-loading) breakdown\n", + "# create a TEA class with the input_only input-set and plot stack breakdown\n", + "print(\"Input_only\")\n", + "tea_input_only = tea.TEA(input_only)\n", + "tea_input_only.plot_stack_breakdown()\n", + "print(tea_input_only.stack_breakdown)\n", + "\n", + "# create a TEA class for the lfp input-set with the \"Prada2013\" parameter-set and plot stack breakdown\n", + "print(\"LFP\")\n", + "tea_lfp = tea.TEA(param_c_lfp, c_lfp)\n", + "tea_lfp.plot_stack_breakdown()\n", + "print(tea_lfp.stack_breakdown)\n", + "\n", + "# create a TEA class for the nmc input-set with the \"Mohtat2020\" parameter-set and plot stack breakdown\n", + "print(\"NMC\")\n", + "tea_nmc = tea.TEA(param_chen, c_nmc)\n", + "tea_nmc.plot_stack_breakdown()\n", + "print(tea_nmc.stack_breakdown)\n", + "\n", + "# create a TEA class for the \"Chen2020\" parameter-set and plot stack breakdown\n", + "print(\"Chen2020\")\n", + "tea_chen = tea.TEA(param_chen, only_electrolyte_density)\n", + "tea_chen.plot_stack_breakdown()\n", + "tea_chen.stack_breakdown_dataframe" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "### Did you spot the negative separator material density?\n", + "\n", + "The inactive/separator material density is calculated as the remainder from the (parameter-set-) electrode/separator density and the (input-) active material & electrolyte density with respect to the volume fractions.\n", + "\\begin{equation}\n", + "\\rho_{\\text {inactive/separator }}=\\frac{\\rho_{\\text {electrode/separator }}-v_{\\text {active }} \\rho_{\\text {active }}-\\varepsilon_{}\\rho_{\\text {electrolyte }}}{v_{\\text {inactive/separator }}}\n", + "\\end{equation}\n", + "\n", + "In this specific example case, the mass loading from the electrolyte (blue) is larger than the mass loading from the entire wet separator (dashed line) leading to the negative separator material density. Another special case here is that there are no inactive materials considered explicitly, so that no active material densities need to be provided, as they can be calculated as the dry electrode densities." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### More densities\n", + "\n", + "Let's now see how the energy densities of the Graphite||LFP and Graphite||NMC classes increase with the positive electrode thickness.\n", + "Note, that the stack-level volumetric energy density is calculated without considering transport and reaction overpotentials / area-specific impedances, as below.\n", + "\n", + "\\begin{equation}\n", + "E_{\\text {stack }}^{\\text {volumetric }}=\\frac{\\min \\left(q_{\\text {area }}^{+}, q_{\\text {area }}^{-}\\right)\\left(\\bar{U}_{+}-\\bar{U}_{-}\\right)}{\\frac{d_{c c}^{-}}{2}+d_{-}+d_{\\text {separator }}+d_{+}+\\frac{d_{c c}^{+}}{2}}\n", + "\\end{equation}\\tag{2}\n", + "\n", + "The gravimetric energy density is then obtained by dividing with the stack density. Without the to-be-implemented form factor calculation (depending on electrode areas and so on) cell-level energy densities could be estimated with given constant form factors." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 2e-05 None\n", + "Initial pava thicknesses: 2e-05 None\n", + "Updated pava thicknesses: 2e-05 4.2160354537344865e-05\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 2e-05 None\n", + "Initial pava thicknesses: 2e-05 None\n", + "Updated pava thicknesses: 2e-05 1.570045171307442e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 3.0000000000000004e-05 None\n", + "Initial pava thicknesses: 3.0000000000000004e-05 None\n", + "Updated pava thicknesses: 3.0000000000000004e-05 6.32405318060173e-05\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 3.0000000000000004e-05 None\n", + "Initial pava thicknesses: 3.0000000000000004e-05 None\n", + "Updated pava thicknesses: 3.0000000000000004e-05 2.355067756961163e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 4e-05 None\n", + "Initial pava thicknesses: 4e-05 None\n", + "Updated pava thicknesses: 4e-05 8.432070907468973e-05\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 4e-05 None\n", + "Initial pava thicknesses: 4e-05 None\n", + "Updated pava thicknesses: 4e-05 3.140090342614884e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 5.000000000000001e-05 None\n", + "Initial pava thicknesses: 5.000000000000001e-05 None\n", + "Updated pava thicknesses: 5.000000000000001e-05 0.00010540088634336216\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 5.000000000000001e-05 None\n", + "Initial pava thicknesses: 5.000000000000001e-05 None\n", + "Updated pava thicknesses: 5.000000000000001e-05 3.925112928268605e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 6.000000000000001e-05 None\n", + "Initial pava thicknesses: 6.000000000000001e-05 None\n", + "Updated pava thicknesses: 6.000000000000001e-05 0.0001264810636120346\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 6.000000000000001e-05 None\n", + "Initial pava thicknesses: 6.000000000000001e-05 None\n", + "Updated pava thicknesses: 6.000000000000001e-05 4.710135513922326e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 7.000000000000001e-05 None\n", + "Initial pava thicknesses: 7.000000000000001e-05 None\n", + "Updated pava thicknesses: 7.000000000000001e-05 0.00014756124088070703\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 7.000000000000001e-05 None\n", + "Initial pava thicknesses: 7.000000000000001e-05 None\n", + "Updated pava thicknesses: 7.000000000000001e-05 5.495158099576048e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 8e-05 None\n", + "Initial pava thicknesses: 8e-05 None\n", + "Updated pava thicknesses: 8e-05 0.00016864141814937946\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 8e-05 None\n", + "Initial pava thicknesses: 8e-05 None\n", + "Updated pava thicknesses: 8e-05 6.280180685229769e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 9e-05 None\n", + "Initial pava thicknesses: 9e-05 None\n", + "Updated pava thicknesses: 9e-05 0.0001897215954180519\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 9e-05 None\n", + "Initial pava thicknesses: 9e-05 None\n", + "Updated pava thicknesses: 9e-05 7.06520327088349e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 0.0001 None\n", + "Initial pava thicknesses: 0.0001 None\n", + "Updated pava thicknesses: 0.0001 0.00021080177268672433\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 0.0001 None\n", + "Initial pava thicknesses: 0.0001 None\n", + "Updated pava thicknesses: 0.0001 7.85022585653721e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 0.00011 None\n", + "Initial pava thicknesses: 0.00011 None\n", + "Updated pava thicknesses: 0.00011 0.00023188194995539676\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 0.00011 None\n", + "Initial pava thicknesses: 0.00011 None\n", + "Updated pava thicknesses: 0.00011 8.635248442190931e-05\n", + "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", + "Initial merged thicknesses: 0.00012 None\n", + "Initial pava thicknesses: 0.00012 None\n", + "Updated pava thicknesses: 0.00012 0.0002529621272240692\n", + "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", + "Initial merged thicknesses: 0.00012 None\n", + "Initial pava thicknesses: 0.00012 None\n", + "Updated pava thicknesses: 0.00012 9.420271027844652e-05\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NMC stack energy densities dict:\n", + "{'Negative electrode stoichiometry at 0% SoC': 0.02717931323985113, 'Negative electrode stoichiometry at 100% SoC': 0.9101824973001095, 'Positive electrode stoichiometry at 100% SoC': 0.2638491629963629, 'Positive electrode stoichiometry at 0% SoC': 0.8819513918385438, 'Negative electrode volumetric capacity [mA.h.cm-3]': 482.7809195664761, 'Negative electrode gravimetric capacity [mA.h.g-1]': 255.48173352174715, 'Negative electrode active material practical capacity [mA.h.g-1]': 346.03531624966314, 'Negative electrode capacity [mA.h.cm-2]': 5.793371034797714, 'Positive electrode volumetric capacity [mA.h.cm-3]': 614.9898466480992, 'Positive electrode gravimetric capacity [mA.h.g-1]': 182.89424724498664, 'Positive electrode active material practical capacity [mA.h.g-1]': 220.08015809175242, 'Positive electrode capacity [mA.h.cm-2]': 5.793371034797714, 'Capacity [mA.h.cm-2]': 5.793371034797714, 'Negative electrode average OCP [V]': 0.1926525386626696, 'Positive electrode average OCP [V]': 3.8935150582754976, 'Stack average OCP [V]': 3.700862519612828, 'Stack thickness [m]': 0.0002532027102784465, 'Volumetric stack capacity [Ah.L-1]': 228.80367387958665, 'Volumetric stack energy density [Wh.L-1]': 846.7709410106789, 'Stack density [kg.m-3]': 2552.2864051540664, 'Negative current collector density [kg.m-3]': 8960, 'Negative electrode density [kg.m-3]': 1889.6886008697006, 'Separator density [kg.m-3]': 1094.5, 'Positive electrode density [kg.m-3]': 3362.543414634146, 'Positive current collector density [kg.m-3]': 2700, 'Gravimetric stack capacity [Ah.kg-1]': 89.64655119329177, 'Gravimetric stack energy density [Wh.kg-1]': 331.7695613238062}\n", + "LFP stack energy densities dict:\n", + "{'Negative electrode stoichiometry at 0% SoC': 0.017561732754747386, 'Negative electrode stoichiometry at 100% SoC': 0.872387033168583, 'Positive electrode stoichiometry at 100% SoC': 1.711031833586526e-06, 'Positive electrode stoichiometry at 0% SoC': 0.5983794213215184, 'Negative electrode volumetric capacity [mA.h.cm-3]': 467.37469587008593, 'Negative electrode gravimetric capacity [mA.h.g-1]': 247.32894914801506, 'Negative electrode active material practical capacity [mA.h.g-1]': 334.99283865178995, 'Negative electrode capacity [mA.h.cm-2]': 5.6084963504410315, 'Positive electrode volumetric capacity [mA.h.cm-3]': 221.7128869047313, 'Positive electrode gravimetric capacity [mA.h.g-1]': 81.56538244173817, 'Positive electrode active material practical capacity [mA.h.g-1]': 101.59663579033251, 'Positive electrode capacity [mA.h.cm-2]': 5.608496350441031, 'Capacity [mA.h.cm-2]': 5.608496350441031, 'Negative electrode average OCP [V]': 0.21161343165001728, 'Positive electrode average OCP [V]': 3.4135389138723586, 'Stack average OCP [V]': 3.2019254822223413, 'Stack thickness [m]': 0.00041196212722406915, 'Volumetric stack capacity [Ah.L-1]': 136.1410668556561, 'Volumetric stack energy density [Wh.L-1]': 435.91355114206067, 'Stack density [kg.m-3]': 2468.8982338493083, 'Negative current collector density [kg.m-3]': 8960, 'Negative electrode density [kg.m-3]': 1889.6886008697006, 'Separator density [kg.m-3]': 1094.5, 'Positive electrode density [kg.m-3]': 2718.222857142857, 'Positive current collector density [kg.m-3]': 2700, 'Gravimetric stack capacity [Ah.kg-1]': 55.142437622224655, 'Gravimetric stack energy density [Wh.kg-1]': 176.56197617445704}\n" + ] + } + ], + "source": [ + "# generate an array of thicknesses from 10e-6 to 100e-6\n", + "thicknesses = np.linspace(20e-6, 120e-6, 11)\n", + "# initialize lists for the stack energy densities\n", + "stack_volumetric_energy_densities_nmc = []\n", + "stack_volumetric_energy_densities_lfp = []\n", + "stack_gravimetric_energy_densities_nmc = []\n", + "stack_gravimetric_energy_densities_lfp = []\n", + "\n", + "c_nmc.update({\"Positive electrode thickness [m]\": None}) # otherwise the default thicknesses are is used and the NPR ratio is overwritten\n", + "c_lfp.update({\"Positive electrode thickness [m]\": None})\n", + "\n", + "# loop over the thicknesses and calculate the stack energy densities for the nmc and lfp input-sets\n", + "for thickness in thicknesses:\n", + " # update the positive electrode thickness in the input-sets\n", + " c_lfp.update({\"Negative electrode thickness [m]\": thickness})\n", + " c_nmc.update({\"Negative electrode thickness [m]\": thickness})\n", + " \n", + " # create TEA classes with the updated input-sets\n", + " tea_lfp = tea.TEA(param_c_lfp, c_lfp)\n", + " tea_nmc = tea.TEA(param_chen, c_nmc)\n", + "\n", + " # save the calculated the stack energy densities in the lists\n", + " stack_volumetric_energy_densities_nmc.append(tea_nmc.stack_energy_densities.get(\"Volumetric stack energy density [Wh.L-1]\"))\n", + " stack_volumetric_energy_densities_lfp.append(tea_lfp.stack_energy_densities.get(\"Volumetric stack energy density [Wh.L-1]\"))\n", + " stack_gravimetric_energy_densities_nmc.append(tea_nmc.stack_energy_densities.get(\"Gravimetric stack energy density [Wh.kg-1]\"))\n", + " stack_gravimetric_energy_densities_lfp.append(tea_lfp.stack_energy_densities.get(\"Gravimetric stack energy density [Wh.kg-1]\"))\n", + " \n", + "# plot stack energy density vs thickness\n", + "plt.figure()\n", + "plt.plot(thicknesses*1e6, stack_volumetric_energy_densities_lfp, label=\"LFP - volumetric\", color='red')\n", + "plt.plot(thicknesses*1e6, stack_gravimetric_energy_densities_lfp, label=\"LFP - gravimetric\", color='red', linestyle='dashed')\n", + "plt.plot(thicknesses*1e6, stack_volumetric_energy_densities_nmc, label=\"NMC - volumetric\", color='black')\n", + "plt.plot(thicknesses*1e6, stack_gravimetric_energy_densities_nmc, label=\"NMC - gravimetric\", color='black', linestyle='dashed')\n", + "plt.xlabel(\"Positive electrode thickness [um]\")\n", + "plt.ylabel(\"Stack energy densities [Wh.L-1] and [Wh.kg-1]\")\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# print stack energy densities data for last loop\n", + "print(\"NMC stack energy densities dict:\")\n", + "print(tea_nmc.stack_energy_densities)\n", + "print(\"LFP stack energy densities dict:\")\n", + "print(tea_lfp.stack_energy_densities)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From aa9790fb5ac313d3d5c21981c7c164add994140d Mon Sep 17 00:00:00 2001 From: julian-evers <133691040+julian-evers@users.noreply.github.com> Date: Sun, 15 Oct 2023 00:08:37 +0200 Subject: [PATCH 2/5] dataframes and logo --- README.md | 2 +- examples/Potentials and capacities.ipynb | 671 ------------------ examples/stackbreakdown.ipynb | 2 +- pybamm_tea/tea.py | 330 ++++----- ...pybamm_tea_logo.PNG => pybamm_tea_logo.PNG | Bin 5 files changed, 140 insertions(+), 865 deletions(-) delete mode 100644 examples/Potentials and capacities.ipynb rename docs/pybamm_tea_logo.PNG => pybamm_tea_logo.PNG (100%) diff --git a/README.md b/README.md index ef8ecb1..64f0021 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # -![logo](https://raw.githubusercontent.com/pybamm-team/pybamm-tea/main/docs/pybamm_tea_logo.png) +![logo](pybamm_tea_logo.png) # PyBaMM-TEA diff --git a/examples/Potentials and capacities.ipynb b/examples/Potentials and capacities.ipynb deleted file mode 100644 index a519773..0000000 --- a/examples/Potentials and capacities.ipynb +++ /dev/null @@ -1,671 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Stack design" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This example notebook shows how to supply parameters to a TEA class, how to plot mass- and volume loadings, how to estimate energy densities and how to loop over different parameter settings." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's generate TEA classes and loading plots\n", - "\n", - "A good way to create an electrode stack cell parameter-set is to start with a base parameter-set, containing the desired active materials, and update parameter such as densities with inputs for the TEA class.\n", - "\n", - "It is also possible to create parameter-sets from the bottom-up, e.g. for non-lithium chemistries, however then the key benefit of the library: PyBaMM may not work with the parameter-set. PyBaMM parameter-sets can also directly be used, for the loadings plot usally active material- and electrolyte densities are necessary inputs though.\n", - "\n", - "Below one \"design\" input-set, one \"chemistry\" input-set and one \"only_electrolyte_density\" input-set are defined to create four TEA classes, one with the \"Chen2020\" parameter-set, one without a base parameter-set and two classes having the same \"design\" input-set, but different active material related base parameter-sets." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Input_only\n", - "Initial parameter_values thicknesses: 8e-05 None\n", - "Initial merged thicknesses: 8e-05 None\n", - "Initial pava thicknesses: 8e-05 None\n", - "Updated pava thicknesses: 8e-05 7.71871150928119e-05\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:121: UserWarning: Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\n", - " warnings.warn(\"Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\")\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'Negative electrode electrolyte volume fraction': 0.33, 'Negative electrode active material volume fraction': 0.6157008697379592, 'Negative electrode inactive material volume fraction': 0.054299130262040696, 'Negative electrode dry volume fraction': 1, 'Negative electrode volume fraction': 1, 'Positive electrode electrolyte volume fraction': 0.33, 'Positive electrode active material volume fraction': 0.5882926829268291, 'Positive electrode inactive material volume fraction': 0.0817073170731708, 'Positive electrode dry volume fraction': 1, 'Positive electrode volume fraction': 1, 'Separator electrolyte volume fraction': 0.45, 'Separator material volume fraction': 0.55, 'Separator volume fraction': 1, 'Separator dry volume fraction': 1, 'Negative electrode electrolyte volume loading [uL.cm-2]': 2.6400000000000006, 'Negative electrode active material volume loading [uL.cm-2]': 4.925606957903675, 'Negative electrode inactive material volume loading [uL.cm-2]': 0.43439304209632557, 'Negative electrode dry volume loading [uL.cm-2]': 8.0, 'Negative electrode volume loading [uL.cm-2]': 8.0, 'Positive electrode electrolyte volume loading [uL.cm-2]': 2.547174798062793, 'Positive electrode active material volume loading [uL.cm-2]': 4.540861502533226, 'Positive electrode inactive material volume loading [uL.cm-2]': 0.630675208685171, 'Positive electrode dry volume loading [uL.cm-2]': 7.7187115092811895, 'Positive electrode volume loading [uL.cm-2]': 7.7187115092811895, 'Separator electrolyte volume loading [uL.cm-2]': 1.125, 'Separator material volume loading [uL.cm-2]': 1.3750000000000002, 'Separator volume loading [uL.cm-2]': 2.5, 'Separator dry volume loading [uL.cm-2]': 2.5, 'Negative current collector volume loading [uL.cm-2]': 1.2, 'Positive current collector volume loading [uL.cm-2]': 1.5999999999999999, 'Negative electrode electrolyte density [mg.uL-1]': 1.276, 'Negative electrode density [mg.uL-1]': 1.8896886008697007, 'Negative electrode dry density [mg.uL-1]': 1.4686086008697008, 'Negative electrode inactive material density [mg.uL-1]': 1.3523316062176167, 'Negative electrode active material density [mg.uL-1]': 2.266, 'Positive electrode electrolyte density [mg.uL-1]': 1.276, 'Positive electrode density [mg.uL-1]': 3.3625434146341457, 'Positive electrode dry density [mg.uL-1]': 2.941463414634146, 'Positive electrode inactive material density [mg.uL-1]': 1.8000000000000032, 'Positive electrode active material density [mg.uL-1]': 4.75, 'Separator electrolyte density [mg.uL-1]': 1.276, 'Separator density [mg.uL-1]': 1.0945, 'Separator material density [mg.uL-1]': 0.9459999999999998, 'Separator dry density [mg.uL-1]': 0.5203, 'Negative current collector density [mg.uL-1]': 8.96, 'Positive current collector density [mg.uL-1]': 2.7, 'Negative electrode electrolyte mass loading [mg.cm-2]': 3.368640000000001, 'Negative electrode active material mass loading [mg.cm-2]': 11.161425366609727, 'Negative electrode inactive material mass loading [mg.cm-2]': 0.5874434403478808, 'Negative electrode dry mass loading [mg.cm-2]': 11.748868806957606, 'Negative electrode mass loading [mg.cm-2]': 15.117508806957606, 'Positive electrode electrolyte mass loading [mg.cm-2]': 3.250195042328124, 'Positive electrode active material mass loading [mg.cm-2]': 21.569092137032825, 'Positive electrode inactive material mass loading [mg.cm-2]': 1.1352153756333099, 'Positive electrode dry mass loading [mg.cm-2]': 22.70430751266613, 'Positive electrode mass loading [mg.cm-2]': 25.954502554994253, 'Separator electrolyte mass loading [mg.cm-2]': 1.4355, 'Separator material mass loading [mg.cm-2]': 1.30075, 'Separator mass loading [mg.cm-2]': 2.73625, 'Separator dry mass loading [mg.cm-2]': 1.3007499999999999, 'Negative current collector mass loading [mg.cm-2]': 10.752, 'Positive current collector mass loading [mg.cm-2]': 4.32}\n", - "LFP\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 8e-05 8.1e-05\n", - "Initial pava thicknesses: 8e-05 8.1e-05\n", - "Updated pava thicknesses: 3.842472431215051e-05 8.1e-05\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:118: UserWarning: Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\n", - " warnings.warn(\"Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\")\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'Negative electrode electrolyte volume fraction': 0.33, 'Negative electrode active material volume fraction': 0.6157008697379592, 'Negative electrode inactive material volume fraction': 0.054299130262040696, 'Negative electrode dry volume fraction': 1, 'Negative electrode volume fraction': 1, 'Positive electrode electrolyte volume fraction': 0.33, 'Positive electrode active material volume fraction': 0.6061904761904761, 'Positive electrode inactive material volume fraction': 0.06380952380952387, 'Positive electrode dry volume fraction': 1, 'Positive electrode volume fraction': 1, 'Separator electrolyte volume fraction': 0.45, 'Separator material volume fraction': 0.55, 'Separator volume fraction': 1, 'Separator dry volume fraction': 1, 'Negative electrode electrolyte volume loading [uL.cm-2]': 1.268015902300967, 'Negative electrode active material volume loading [uL.cm-2]': 2.3658136178432376, 'Negative electrode inactive material volume loading [uL.cm-2]': 0.20864291107084626, 'Negative electrode dry volume loading [uL.cm-2]': 3.842472431215051, 'Negative electrode volume loading [uL.cm-2]': 3.842472431215051, 'Positive electrode electrolyte volume loading [uL.cm-2]': 2.6730000000000005, 'Positive electrode active material volume loading [uL.cm-2]': 4.910142857142857, 'Positive electrode inactive material volume loading [uL.cm-2]': 0.5168571428571433, 'Positive electrode dry volume loading [uL.cm-2]': 8.1, 'Positive electrode volume loading [uL.cm-2]': 8.1, 'Separator electrolyte volume loading [uL.cm-2]': 1.125, 'Separator material volume loading [uL.cm-2]': 1.3750000000000002, 'Separator volume loading [uL.cm-2]': 2.5, 'Separator dry volume loading [uL.cm-2]': 2.5, 'Negative current collector volume loading [uL.cm-2]': 1.2, 'Positive current collector volume loading [uL.cm-2]': 1.5999999999999999, 'Negative electrode electrolyte density [mg.uL-1]': 1.276, 'Negative electrode density [mg.uL-1]': 1.8896886008697007, 'Negative electrode dry density [mg.uL-1]': 1.4686086008697008, 'Negative electrode inactive material density [mg.uL-1]': 1.3523316062176167, 'Negative electrode active material density [mg.uL-1]': 2.266, 'Positive electrode electrolyte density [mg.uL-1]': 1.276, 'Positive electrode density [mg.uL-1]': 2.7182228571428566, 'Positive electrode dry density [mg.uL-1]': 2.2971428571428567, 'Positive electrode inactive material density [mg.uL-1]': 1.8000000000000023, 'Positive electrode active material density [mg.uL-1]': 3.6, 'Separator electrolyte density [mg.uL-1]': 1.276, 'Separator density [mg.uL-1]': 1.0945, 'Separator material density [mg.uL-1]': 0.9459999999999998, 'Separator dry density [mg.uL-1]': 0.5203, 'Negative current collector density [mg.uL-1]': 8.96, 'Positive current collector density [mg.uL-1]': 2.7, 'Negative electrode electrolyte mass loading [mg.cm-2]': 1.617988291336034, 'Negative electrode active material mass loading [mg.cm-2]': 5.360933658032777, 'Negative electrode inactive material mass loading [mg.cm-2]': 0.2821544030543569, 'Negative electrode dry mass loading [mg.cm-2]': 5.643088061087134, 'Negative electrode mass loading [mg.cm-2]': 7.261076352423167, 'Positive electrode electrolyte mass loading [mg.cm-2]': 3.410748000000001, 'Positive electrode active material mass loading [mg.cm-2]': 17.676514285714283, 'Positive electrode inactive material mass loading [mg.cm-2]': 0.9303428571428592, 'Positive electrode dry mass loading [mg.cm-2]': 18.606857142857137, 'Positive electrode mass loading [mg.cm-2]': 22.01760514285714, 'Separator electrolyte mass loading [mg.cm-2]': 1.4355, 'Separator material mass loading [mg.cm-2]': 1.30075, 'Separator mass loading [mg.cm-2]': 2.73625, 'Separator dry mass loading [mg.cm-2]': 1.3007499999999999, 'Negative current collector mass loading [mg.cm-2]': 10.752, 'Positive current collector mass loading [mg.cm-2]': 4.32}\n", - "NMC\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 8e-05 7.56e-05\n", - "Initial pava thicknesses: 8e-05 7.56e-05\n", - "Updated pava thicknesses: 9.630296170019713e-05 7.56e-05\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'Negative electrode electrolyte volume fraction': 0.33, 'Negative electrode active material volume fraction': 0.6157008697379592, 'Negative electrode inactive material volume fraction': 0.054299130262040696, 'Negative electrode dry volume fraction': 1, 'Negative electrode volume fraction': 1, 'Positive electrode electrolyte volume fraction': 0.33, 'Positive electrode active material volume fraction': 0.5882926829268291, 'Positive electrode inactive material volume fraction': 0.0817073170731708, 'Positive electrode dry volume fraction': 1, 'Positive electrode volume fraction': 1, 'Separator electrolyte volume fraction': 0.45, 'Separator material volume fraction': 0.55, 'Separator volume fraction': 1, 'Separator dry volume fraction': 1, 'Negative electrode electrolyte volume loading [uL.cm-2]': 3.1779977361065055, 'Negative electrode active material volume loading [uL.cm-2]': 5.929381727715275, 'Negative electrode inactive material volume loading [uL.cm-2]': 0.522916706197932, 'Negative electrode dry volume loading [uL.cm-2]': 9.630296170019713, 'Negative electrode volume loading [uL.cm-2]': 9.630296170019713, 'Positive electrode electrolyte volume loading [uL.cm-2]': 2.4947999999999997, 'Positive electrode active material volume loading [uL.cm-2]': 4.4474926829268275, 'Positive electrode inactive material volume loading [uL.cm-2]': 0.6177073170731713, 'Positive electrode dry volume loading [uL.cm-2]': 7.56, 'Positive electrode volume loading [uL.cm-2]': 7.56, 'Separator electrolyte volume loading [uL.cm-2]': 1.125, 'Separator material volume loading [uL.cm-2]': 1.3750000000000002, 'Separator volume loading [uL.cm-2]': 2.5, 'Separator dry volume loading [uL.cm-2]': 2.5, 'Negative current collector volume loading [uL.cm-2]': 1.2, 'Positive current collector volume loading [uL.cm-2]': 1.5999999999999999, 'Negative electrode electrolyte density [mg.uL-1]': 1.276, 'Negative electrode density [mg.uL-1]': 1.8896886008697007, 'Negative electrode dry density [mg.uL-1]': 1.4686086008697008, 'Negative electrode inactive material density [mg.uL-1]': 1.3523316062176167, 'Negative electrode active material density [mg.uL-1]': 2.266, 'Positive electrode electrolyte density [mg.uL-1]': 1.276, 'Positive electrode density [mg.uL-1]': 3.3625434146341457, 'Positive electrode dry density [mg.uL-1]': 2.941463414634146, 'Positive electrode inactive material density [mg.uL-1]': 1.8000000000000032, 'Positive electrode active material density [mg.uL-1]': 4.75, 'Separator electrolyte density [mg.uL-1]': 1.276, 'Separator density [mg.uL-1]': 1.0945, 'Separator material density [mg.uL-1]': 0.9459999999999998, 'Separator dry density [mg.uL-1]': 0.5203, 'Negative current collector density [mg.uL-1]': 8.96, 'Positive current collector density [mg.uL-1]': 2.7, 'Negative electrode electrolyte mass loading [mg.cm-2]': 4.055125111271901, 'Negative electrode active material mass loading [mg.cm-2]': 13.435978995002813, 'Negative electrode inactive material mass loading [mg.cm-2]': 0.7071567892106749, 'Negative electrode dry mass loading [mg.cm-2]': 14.14313578421349, 'Negative electrode mass loading [mg.cm-2]': 18.19826089548539, 'Positive electrode electrolyte mass loading [mg.cm-2]': 3.1833647999999997, 'Positive electrode active material mass loading [mg.cm-2]': 21.12559024390243, 'Positive electrode inactive material mass loading [mg.cm-2]': 1.1118731707317102, 'Positive electrode dry mass loading [mg.cm-2]': 22.237463414634142, 'Positive electrode mass loading [mg.cm-2]': 25.42082821463414, 'Separator electrolyte mass loading [mg.cm-2]': 1.4355, 'Separator material mass loading [mg.cm-2]': 1.30075, 'Separator mass loading [mg.cm-2]': 2.73625, 'Separator dry mass loading [mg.cm-2]': 1.3007499999999999, 'Negative current collector mass loading [mg.cm-2]': 10.752, 'Positive current collector mass loading [mg.cm-2]': 4.32}\n", - "Chen2020\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 8.52e-05 7.56e-05\n", - "Initial pava thicknesses: 8.52e-05 7.56e-05\n", - "Warning: 'Negative electrode active material density [kg.m-3]' and 'Negative electrode dry density [kg.m-3]' have been calulated from;'Electrolyte density [kg.m-3]', 'Negative electrode porosity' and 'Negative electrode density [kg.m-3]'\n", - "Warning: 'Positive electrode active material density [kg.m-3]' and 'Positive electrode dry density [kg.m-3]' have been calulated from;'Electrolyte density [kg.m-3]', 'Positive electrode porosity' and 'Positive electrode density [kg.m-3]'\n", - "Updated pava thicknesses: 8.52e-05 7.56e-05\n", - "Warning: Negative electrode inactive material volume fraction is 0, Negative electrode inactive material density is set to 0\n", - "Warning: Positive electrode inactive material volume fraction is 0, Positive electrode inactive material density is set to 0\n" - ] - }, - { - "data": { - "image/png": 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Volume loading [uL.cm-2]Mass loading [mg.cm-2]Density [mg.uL-1]
Negative electrode electrolyte2.13002.7178801.276000
Negative electrode active material6.39008.5498201.338000
Negative electrode inactive material0.00000.0000000.000000
Negative electrode dry8.520011.3997601.338000
Negative electrode8.520014.1176401.657000
Positive electrode electrolyte2.53263.2315981.276000
Positive electrode active material5.027414.2503662.834540
Positive electrode inactive material0.00000.0000000.000000
Positive electrode dry7.560021.4291222.834540
Positive electrode7.560024.6607203.262000
Separator electrolyte0.56400.7196641.276000
Separator material0.6360-0.243264-0.382491
Separator1.20000.4764000.397000
Separator dry1.2000-0.243264-0.202720
Negative current collector1.200010.7520008.960000
Positive current collector1.60004.3200002.700000
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" - ], - "text/plain": [ - " Volume loading [uL.cm-2] \\\n", - "Negative electrode electrolyte 2.1300 \n", - "Negative electrode active material 6.3900 \n", - "Negative electrode inactive material 0.0000 \n", - "Negative electrode dry 8.5200 \n", - "Negative electrode 8.5200 \n", - "Positive electrode electrolyte 2.5326 \n", - "Positive electrode active material 5.0274 \n", - "Positive electrode inactive material 0.0000 \n", - "Positive electrode dry 7.5600 \n", - "Positive electrode 7.5600 \n", - "Separator electrolyte 0.5640 \n", - "Separator material 0.6360 \n", - "Separator 1.2000 \n", - "Separator dry 1.2000 \n", - "Negative current collector 1.2000 \n", - "Positive current collector 1.6000 \n", - "\n", - " Mass loading [mg.cm-2] \\\n", - "Negative electrode electrolyte 2.717880 \n", - "Negative electrode active material 8.549820 \n", - "Negative electrode inactive material 0.000000 \n", - "Negative electrode dry 11.399760 \n", - "Negative electrode 14.117640 \n", - "Positive electrode electrolyte 3.231598 \n", - "Positive electrode active material 14.250366 \n", - "Positive electrode inactive material 0.000000 \n", - "Positive electrode dry 21.429122 \n", - "Positive electrode 24.660720 \n", - "Separator electrolyte 0.719664 \n", - "Separator material -0.243264 \n", - "Separator 0.476400 \n", - "Separator dry -0.243264 \n", - "Negative current collector 10.752000 \n", - "Positive current collector 4.320000 \n", - "\n", - " Density [mg.uL-1] \n", - "Negative electrode electrolyte 1.276000 \n", - "Negative electrode active material 1.338000 \n", - "Negative electrode inactive material 0.000000 \n", - "Negative electrode dry 1.338000 \n", - "Negative electrode 1.657000 \n", - "Positive electrode electrolyte 1.276000 \n", - "Positive electrode active material 2.834540 \n", - "Positive electrode inactive material 0.000000 \n", - "Positive electrode dry 2.834540 \n", - "Positive electrode 3.262000 \n", - "Separator electrolyte 1.276000 \n", - "Separator material -0.382491 \n", - "Separator 0.397000 \n", - "Separator dry -0.202720 \n", - "Negative current collector 8.960000 \n", - "Positive current collector 2.700000 " - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#%pip install pybamm\n", - "import pybamm\n", - "from pybamm_tea import tea\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "### create input-sets\n", - "\n", - "# input only\n", - "only_electrolyte_density = {\n", - " \"Electrolyte density [kg.m-3]\": 1276, # LiPF6 in EC:EMC 3:7 + 2% VC\n", - "# \"Separator material density [kg.m-3]\": 946, # PP/PE\n", - "\n", - "}\n", - "\n", - "# stack design parameter\n", - "design = {\n", - " # Negative electrode\n", - " \"Theoretical n/p ratio\": 0.7, # instead of passing a thickness, one can also pass the ratio of theoretical maximal lithium content from the active material particles in both electrodes - not considering potential/stoichiometry windows or lithium/active material losses\n", - " \"Negative electrode porosity\": 0.33,\n", - " \"Negative electrode binder density [kg.m-3]\": (2 * 940 + 1600) / 3, # 2:1 CMC:SBR\n", - " \"Negative electrode conductive additive density [kg.m-3]\": 1800, # CB\n", - " \"Negative electrode binder dry mass fraction\": 0.03,\n", - " \"Negative electrode conductive additive dry mass fraction\": 0.02,\n", - " \n", - " # Separator and electrolyte\n", - " \"Separator thickness [m]\": 25e-6,\n", - " \"Separator porosity\": 0.45,\n", - " \"Separator material density [kg.m-3]\": 946, # PP/PE\n", - "\n", - " # Positive electrode \n", - " \"Positive electrode thickness [m]\": 80e-6,\n", - " \"Positive electrode porosity\": 0.33,\n", - " \"Positive electrode inactive material density [kg.m-3]\": 1800, # PVDF and CB\n", - " \"Positive electrode active material dry mass fraction\": 0.95,\n", - "\n", - " # Current collectors\n", - " \"Negative current collector thickness [m]\": 12e-6,\n", - " \"Negative current collector density [kg.m-3]\": 8960, # Cu\n", - " \"Positive current collector thickness [m]\": 16e-6,\n", - " \"Positive current collector density [kg.m-3]\": 2700, # Al\n", - "}\n", - "\n", - "# chemistry input without base parameter-set\n", - "chemistry = { \n", - " # Negative electrode - Graphite\n", - " \"Negative electrode active material density [kg.m-3]\": 2266, # Graphite\n", - " \"Negative electrode active material capacity [mA.h.g-1]\": 372, # refers to maximal concentration\n", - " \"Negative electrode minimum stoichiometry\": 0.02,\n", - " \"Negative electrode maximum stoichiometry\": 0.90,\n", - " \"Negative electrode average OCP [V]\": 0.1, # vs Li/Li+ | dependent on ocv curve if not set\n", - "\n", - " # Positive electrode - NMC604\n", - " \"Positive electrode active material density [kg.m-3]\": 4750,\n", - " \"Positive electrode active material capacity [mA.h.g-1]\": 275, # = 96485 / 3.6 / (6.9 + 0.6 * 58.7 + 0 * 54.9 + 0.4 * 58.9 + 2 * 16) | q [mAh.g-1] = F [C.mol-1] / 3.6 [C.mAh-1] / (M_Li+x*M_Ni+y*M_Mn+z*M_Co+2*M_O) [g.mol-1]\n", - " \"Positive electrode minimum stoichiometry\": 0.25,\n", - " \"Positive electrode maximum stoichiometry\": 0.90,\n", - " \"Positive electrode average OCP [V]\" : 3.8, # vs Li/Li+ | dependent on ocv curve if not set\n", - "\n", - " # Electrolyte\n", - " \"Electrolyte density [kg.m-3]\": 1276, # LiPF6 in EC:EMC 3:7\n", - "}\n", - "\n", - "# merge the design and chemistry dictionaries into a new dictionary that will be used as input for the TEA class\n", - "input_only = design.copy() # create a copy of the design dictionary\n", - "input_only.update(chemistry) # merge the chemistry dictionary into the new dictionary\n", - "\n", - "# graphite||nmc chemistry input with a base parameter-set\n", - "c_nmc = {\n", - " \"Negative electrode active material density [kg.m-3]\": 2266, # Graphite\n", - " \"Positive electrode active material density [kg.m-3]\": 4750, # NMC\n", - " \"Electrolyte density [kg.m-3]\": 1276, # LiPF6 in EC:EMC 3:7\n", - "}\n", - "c_nmc.update(design) # merge the design dictionary with nmc-chemistry input for the base parameter-set\n", - "\n", - "# graphite||lfp chemistry input with a base parameter-set\n", - "c_lfp = {\n", - " \"Negative electrode active material density [kg.m-3]\": 2266, # Graphite\n", - " \"Positive electrode active material density [kg.m-3]\": 3600, # LFP\n", - " \"Electrolyte density [kg.m-3]\": 1276, # LiPF6 in EC:EMC 3:7\n", - "}\n", - "c_lfp.update(design) # merge the design dictionary with the lfp-chemistry input for the base parameter-set\n", - "\n", - "# base parameter-sets\n", - "param_chen = pybamm.ParameterValues(\"Chen2020\")\n", - "param_c_lfp = pybamm.ParameterValues(\"Prada2013\")\n", - "\n", - "### create TEA classes and plot stack (-loading) breakdown\n", - "# create a TEA class with the input_only input-set and plot stack breakdown\n", - "print(\"Input_only\")\n", - "tea_input_only = tea.TEA(input_only)\n", - "tea_input_only.plot_stack_breakdown()\n", - "print(tea_input_only.stack_breakdown)\n", - "\n", - "# create a TEA class for the lfp input-set with the \"Prada2013\" parameter-set and plot stack breakdown\n", - "print(\"LFP\")\n", - "tea_lfp = tea.TEA(param_c_lfp, c_lfp)\n", - "tea_lfp.plot_stack_breakdown()\n", - "print(tea_lfp.stack_breakdown)\n", - "\n", - "# create a TEA class for the nmc input-set with the \"Mohtat2020\" parameter-set and plot stack breakdown\n", - "print(\"NMC\")\n", - "tea_nmc = tea.TEA(param_chen, c_nmc)\n", - "tea_nmc.plot_stack_breakdown()\n", - "print(tea_nmc.stack_breakdown)\n", - "\n", - "# create a TEA class for the \"Chen2020\" parameter-set and plot stack breakdown\n", - "print(\"Chen2020\")\n", - "tea_chen = tea.TEA(param_chen, only_electrolyte_density)\n", - "tea_chen.plot_stack_breakdown()\n", - "tea_chen.stack_breakdown_dataframe" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "### Did you spot the negative separator material density?\n", - "\n", - "The inactive/separator material density is calculated as the remainder from the (parameter-set-) electrode/separator density and the (input-) active material & electrolyte density with respect to the volume fractions.\n", - "\\begin{equation}\n", - "\\rho_{\\text {inactive/separator }}=\\frac{\\rho_{\\text {electrode/separator }}-v_{\\text {active }} \\rho_{\\text {active }}-\\varepsilon_{}\\rho_{\\text {electrolyte }}}{v_{\\text {inactive/separator }}}\n", - "\\end{equation}\n", - "\n", - "In this specific example case, the mass loading from the electrolyte (blue) is larger than the mass loading from the entire wet separator (dashed line) leading to the negative separator material density. Another special case here is that there are no inactive materials considered explicitly, so that no active material densities need to be provided, as they can be calculated as the dry electrode densities." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### More densities\n", - "\n", - "Let's now see how the energy densities of the Graphite||LFP and Graphite||NMC classes increase with the positive electrode thickness.\n", - "Note, that the stack-level volumetric energy density is calculated without considering transport and reaction overpotentials / area-specific impedances, as below.\n", - "\n", - "\\begin{equation}\n", - "E_{\\text {stack }}^{\\text {volumetric }}=\\frac{\\min \\left(q_{\\text {area }}^{+}, q_{\\text {area }}^{-}\\right)\\left(\\bar{U}_{+}-\\bar{U}_{-}\\right)}{\\frac{d_{c c}^{-}}{2}+d_{-}+d_{\\text {separator }}+d_{+}+\\frac{d_{c c}^{+}}{2}}\n", - "\\end{equation}\\tag{2}\n", - "\n", - "The gravimetric energy density is then obtained by dividing with the stack density. Without the to-be-implemented form factor calculation (depending on electrode areas and so on) cell-level energy densities could be estimated with given constant form factors." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 2e-05 None\n", - "Initial pava thicknesses: 2e-05 None\n", - "Updated pava thicknesses: 2e-05 4.2160354537344865e-05\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 2e-05 None\n", - "Initial pava thicknesses: 2e-05 None\n", - "Updated pava thicknesses: 2e-05 1.570045171307442e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 3.0000000000000004e-05 None\n", - "Initial pava thicknesses: 3.0000000000000004e-05 None\n", - "Updated pava thicknesses: 3.0000000000000004e-05 6.32405318060173e-05\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 3.0000000000000004e-05 None\n", - "Initial pava thicknesses: 3.0000000000000004e-05 None\n", - "Updated pava thicknesses: 3.0000000000000004e-05 2.355067756961163e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 4e-05 None\n", - "Initial pava thicknesses: 4e-05 None\n", - "Updated pava thicknesses: 4e-05 8.432070907468973e-05\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 4e-05 None\n", - "Initial pava thicknesses: 4e-05 None\n", - "Updated pava thicknesses: 4e-05 3.140090342614884e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 5.000000000000001e-05 None\n", - "Initial pava thicknesses: 5.000000000000001e-05 None\n", - "Updated pava thicknesses: 5.000000000000001e-05 0.00010540088634336216\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 5.000000000000001e-05 None\n", - "Initial pava thicknesses: 5.000000000000001e-05 None\n", - "Updated pava thicknesses: 5.000000000000001e-05 3.925112928268605e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 6.000000000000001e-05 None\n", - "Initial pava thicknesses: 6.000000000000001e-05 None\n", - "Updated pava thicknesses: 6.000000000000001e-05 0.0001264810636120346\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 6.000000000000001e-05 None\n", - "Initial pava thicknesses: 6.000000000000001e-05 None\n", - "Updated pava thicknesses: 6.000000000000001e-05 4.710135513922326e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 7.000000000000001e-05 None\n", - "Initial pava thicknesses: 7.000000000000001e-05 None\n", - "Updated pava thicknesses: 7.000000000000001e-05 0.00014756124088070703\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 7.000000000000001e-05 None\n", - "Initial pava thicknesses: 7.000000000000001e-05 None\n", - "Updated pava thicknesses: 7.000000000000001e-05 5.495158099576048e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 8e-05 None\n", - "Initial pava thicknesses: 8e-05 None\n", - "Updated pava thicknesses: 8e-05 0.00016864141814937946\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 8e-05 None\n", - "Initial pava thicknesses: 8e-05 None\n", - "Updated pava thicknesses: 8e-05 6.280180685229769e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 9e-05 None\n", - "Initial pava thicknesses: 9e-05 None\n", - "Updated pava thicknesses: 9e-05 0.0001897215954180519\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 9e-05 None\n", - "Initial pava thicknesses: 9e-05 None\n", - "Updated pava thicknesses: 9e-05 7.06520327088349e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 0.0001 None\n", - "Initial pava thicknesses: 0.0001 None\n", - "Updated pava thicknesses: 0.0001 0.00021080177268672433\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 0.0001 None\n", - "Initial pava thicknesses: 0.0001 None\n", - "Updated pava thicknesses: 0.0001 7.85022585653721e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 0.00011 None\n", - "Initial pava thicknesses: 0.00011 None\n", - "Updated pava thicknesses: 0.00011 0.00023188194995539676\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 0.00011 None\n", - "Initial pava thicknesses: 0.00011 None\n", - "Updated pava thicknesses: 0.00011 8.635248442190931e-05\n", - "Initial parameter_values thicknesses: 3.6e-05 8.1e-05\n", - "Initial merged thicknesses: 0.00012 None\n", - "Initial pava thicknesses: 0.00012 None\n", - "Updated pava thicknesses: 0.00012 0.0002529621272240692\n", - "Initial parameter_values thicknesses: 8.52e-05 7.56e-05\n", - "Initial merged thicknesses: 0.00012 None\n", - "Initial pava thicknesses: 0.00012 None\n", - "Updated pava thicknesses: 0.00012 9.420271027844652e-05\n" - ] - }, - { - "data": { - "image/png": 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paWmx1atX16muhw8fsn79+jF1dXXm7OzMQkNDGQB2+vRpxhhjCQkJDAA7fvw4GzhwIFNXV2cBAQEsIyODTZ06lVlaWjJNTU3WqVMnduzYMe6433//PbOwsGClpaUSrzdmzBg2a9YsxhhjGzZsYJ07d+b2iT+jbdu2MVNTU6avr882bdrEBAIBW7FiBTM0NGStW7dmhw8fljhmYmIimzRpEtPX12eGhoZszJgxLCEhgXsNVPirNiwsrNr3FRAQwPT19SWOf/bsWdajRw+mrq7OjI2N2bhx42r1WTfV312iOGlpaezChQts69atbMKECczOzq7a3hobGxs2btw4tnnzZhYcHMySk5MVXT5pgeTes1Mf+vbti0OHDuHx48do164d7t69ixs3buDLL78EIJq5OTU1FR4eHtxz9PX10bt3b0RGRmLq1KmIjIyEgYEBevTowbXx8PCAkpISoqKiMH78+Eqvu2PHjrqPL8rLq36fsjJQ/nLHmtoqKQHl/7Kvrq2C54RQUVGBqqpqtVdJSKO0tBTjxo2DjY0NoqKikJOTg+XLl1fZdvXq1di7dy+6du0KDQ0NFBYWonv37li1ahX09PRw/vx5+Pj4wMHBAb169cKkSZOwePFihIWFwd3dHYDoL9JLly7hwoUL1dZ05coVWFlZ4dq1a4iIiMCcOXNw8+ZNDBw4EFFRUThx4gQWLFiAYcOGwcrKCgKBAJ6ennBzc8P169ehoqKCrVu3YsSIEbh37x5WrFiBhw8fIjs7GwEBAQBEvZ7iVY8rvq+QkBCJes6fP4/x48fj888/x9GjR1FcXFxj/YTUBmMMycnJiImJkeixefXqVZXtHRwc0K1bN+7WtWtXmWbVJ0Th6pKodHV12dOnT2v9/NLSUrZq1SrG4/GYiooK4/F4bPv27dz+iIgIBqDSXwyTJk1ikydPZowxtm3bNtauXbtKx27VqhX77rvvqnxdufTsANXf3ntPsq2WVvVtBw2SbGtiUnU7GUnTs6Ompsa0tbW521dffSWxX9yzU1RUxLZv384AsODgYJlrEbt48SJTUVFhKSkp3LbqenZqGh8m5uXlxZYvX849Hjt2rERP4ffff88sLS253p6qenZsbW0leoOcnJzYgAEDuMclJSVMW1ub60n86aefmJOTk8RYg6KiIqapqclCQkK441b87Kt7XxV7dtzc3Liezbqinh3CmKiHPCEhgf3222/ss88+YyNGjGCmpqZV9tbweDzWvn17Nn36dPbFF1+wK1eusLdv3yr6LRBSrQbp2WGM1eXp+PXXXxEUFIRjx46hY8eOiI2NxZIlS2BpaQlfX986Hbsm6urqUFdXr7fjNxUrV66En58f99jExERi/6pVq7B27VoUFhZCR0cHO3fuhJeXV5XH6tixI168eAEAGDBgAC5evFipTVxcHKytrWFubs5t69WrV5XHK99TB4h6hbZv345ff/0Vr169QnFxMYqKiqClpcW18fb2xrx58/Ddd99BXV0dQUFBmDp1ao1XdXTs2FFiv5mZGTp16sQ9VlZWhrGxMdLT0wEAd+/eRXx8fKUF/woLC/H06dNqX6e691VRbGysxDgqQmQhFArx9OnTSj02mZmZldoqKyujQ4cOEj02nTt3psUsSbOk0NNYK1euxOrVqzF16lQAgIuLC168eIEdO3bA19eX+1JMS0uDhYUF97y0tDR06dIFAGBubs59EYmVlJTg7du3El+qclfN9OQARKexyqtQn4SKX8TPn9e6JFmZmJjA0dGx2v3iMKSjo/POAYYXLlyAQCAAALkMuK04lfuePXvw1VdfYf/+/XBxcYG2tjaWLFkicVpt9OjRYIzh/Pnz6NmzJ65fv459+/bV+DoVBz7zeLwqt4kvnc3NzUX37t0RFBRU6VjSdOu/a4p6GqxMpFVaWoq4uDiJYHPnzh3k5ORUaquqqopOnTqhe/fuXLBxcXGR+GOBkOasTmFnxowZ0NPTq/Xz8/PzK/3VrayszH2x2Nvbw9zcHJcvX+bCTXZ2NqKiorBw4UIAgJubG7KyshATE4Pu3bsDEI3DEAqF6N27d61reydZxtDUV9t69q4wVJ40i8U6OTkhKSkJaWlpMDMzAwBER0dLdfyIiAiMHTsWM2bMACD6C/bx48fo0KED10ZDQwMTJkxAUFAQ4uPj4eTkhG7dukl1fGl169YNJ06cgKmpabW/+2pqarWeZNPV1RWXL1/GrFmz6lImaWYEAgEePHggEWzu3r2L/Pz8Sm3V1dXRuXNniWDTsWNH6s0mLVqdws7Bgwfr9OKjR4/Gtm3bYGNjg44dO+LOnTv48ssvMXv2bACiv6iXLFmCrVu3om3bttyl55aWlhg3bhwAwNnZGSNGjMC8efPg7+8PgUCARYsWYerUqbC0tKxTfU0dn8+vNIGesbGxwlalHzZsGBwcHODr64vdu3cjJycHa9euBYB3Xpbatm1b/Pbbb7h58yYMDQ3x5ZdfIi0tTSLsAKJTWaNGjcJ///3HBSN58vb2xp49ezB27Fhs3rwZVlZWePHiBU6dOoVPP/0UVlZWsLOzQ0hICOLi4mBsbAx9fX2pj79hwwa4u7vDwcEBU6dORUlJCS5cuIBVq1bJ/b2QxqmkpAR3797F7du3uWBz7969Ki8O0NbWRpcuXSSCTfv27WnpBEIqkDnsHDhwoMrtPB4PGhoacHR0xMCBAyvN2VKVr7/+GuvWrcOHH36I9PR0WFpaYsGCBVi/fj3X5tNPP0VeXh7mz5+PrKws9O/fH5cuXZJY3C0oKAiLFi2Cu7s7lJSUMHHixGrrbEnCw8PRtWtXiW1z5szBDz/8oJB6lJWVcebMGcydOxc9e/ZEmzZtsGfPHowePfqdi/WtXbsWz549g6enJ7S0tDB//nyMGzcOfD5fot3QoUNhZGSEuLg4TJ8+Xe7vQUtLC9euXcOqVaswYcIE5OTkoHXr1nB3d+d6eubNm4fw8HD06NEDubm5CAsLg52dnVTHHzx4ME6ePIktW7Zg586d0NPTw8CBA+X+PkjjUVBQgKioKFy/fh3Xr19HZGRklat46+npoVu3bhLBpm3btlL9W0tIS8djMo4ytre3x+vXr5Gfnw9DQ0MAQGZmJrS0tKCjo4P09HS0adMGYWFhCutBkFV2djb09fXB5/MrnZooLCxEQkIC7O3tafXcehAREYH+/fsjPj4eDg4Oii6nWaHf3cYpKysLERERuHbtGq5fv47bt29z493E9PX10atXL4lwY29vT0soEFJBTd/f5cncs7N9+3YcOnQIP/zwA/flFB8fjwULFmD+/Pno168fpk6diqVLl+K3336r/TsgzdLp06eho6ODtm3bIj4+Hp988gn69etHQYc0W8nJyVyvzfXr13H//v1KV7JaWFhgwIABGDhwIAYMGIBOnTpRsCFEjmQOO2vXrsXvv/8u8eXk6OiIL774AhMnTsSzZ8+we/duTJw4Ua6FkuYhJycHq1atQmJiIkxMTODh4YG9e/cquixC5IIxhvj4eC7YXLt2Dc+ePavUrm3bthgwYAB3a9OmDS2nQEg9kjnspKSkoKSkpNL2kpISpKamAgAsLS2rvPyRkJkzZ8q8hhohjVVpaSnu3bsn0XOTlpYm0YbH46Fz585cz03//v3rd1oMQkglMoedIUOGYMGCBfjhhx+4wa937tzBwoULMXToUADA/fv3YW9vL99KCSFEwYqKihAdHc0Fm4iICGRnZ0u0UVNTQ69evbhem759+8p0RR4hRP5kDjs//vgjfHx80L17d+7yxpKSEri7u+PHH38EIFpdmk5NEEKauuzsbERGRnKDiW/duoWioiKJNrq6uujbty833qZnz540IJyQRkbmsGNubo7Q0FDExcUhLi4OgGiyOCcnJ67NkCFD5FchIYQ0kPT0dIlTUrGxsdwkp2KmpqYS421cXV2hoqLQyegJIe8g8/+h//77Lzp16lQp4ADAmTNnuMn+CCGkMWOM4fnz5xKDiR8/flypnb29PRdsBg4ciLZt29JgYkKaGJnDjqenJ27cuFFpTM7vv/+OmTNnIi8vT27FEUKIvAiFQvz3338SPTevXr2SaMPj8dCpUyeJnpvWrVsrqGJCiLzIHHbmzp0LDw8PREREcFcUnDhxArNnz0ZgYKC86yOEkFphjOHhw4e4cOECrl27hhs3blRa/VtFRQU9evTgxtv069ePmyyVENJ8yBx2Nm3ahLdv38LDwwPXrl3DpUuXMHfuXPz00080tw5RuPDwcAwZMgSZmZkwMDBQdDlSCwwMxJIlS5CVlaXoUpq0oqIiXL16FcHBwQgODkZCQoLEfm1tbbi5uXG9Nr1796aVvwlpAWo1RefXX3+Nzp07o0+fPpg3bx5++eUXCjqNjJ+fH3g8Hnbu3Cmx/cyZMxLjDcLDw8Hj8WBoaIjCwkKJttHR0eDxeJXGJzDGcOjQIfTu3Rs6OjowMDBAjx49sH///ipXYW6p/Pz8pB7DNmXKlCrHi5B3S01NxeHDhzFhwgQYGxvD09MTX3/9NRISEqCuro4RI0bgiy++wK1bt5CZmYnQ0FCsX78eQ4YMoaBDSAshVc/O2bNnK22bMGECrl+/jmnTpoHH43FtxowZI98KSa1paGhg165dWLBgwTu75nV1dXH69GlMmzaN2/bjjz/CxsYGiYmJEm19fHxw6tQprF27Ft988w1atWqFu3fvYv/+/bCzs6NB6jISCATQ1NSEpqamoktpEhhjuHPnDtd7Ex0dLbHfwsICo0aNwqhRo+Du7g5tbW0FVUoIaTSYFHg8nlQ3JSUlaQ7X6PD5fAaA8fn8SvsKCgrYgwcPWEFBgQIqqz1fX182atQo1r59e7Zy5Upu++nTp1n5/+xhYWEMAFu7di3z8PDgtufn5zN9fX22bt06ifYnTpxgANiZM2cqvaZQKGRZWVm1rnnatGls8uTJEtuKi4uZsbExO3LkCGOMscLCQrZ48WLWqlUrpq6uzvr168du3bpV6f1kZmYyxhjbsGED69y5s8Qx9+3bx2xtbbnHvr6+bOzYsWzbtm3M1NSU6evrs02bNjGBQMBWrFjBDA0NWevWrdnhw4cljpOYmMgmTZrE9PX1maGhIRszZgxLSEjgXheAxC0sLIwlJCQwAOz48eNs4MCBTF1dnQUEBLCAgACmr68vcfyzZ8+yHj16MHV1dWZsbMzGjRsn0+fZVH93q5KXl8f++OMPNm/ePGZpaVnps+3ZsyfbtGkTi4mJYUKhUNHlEkIaSE3f3+VJ1bNTcZ6JlowxprBTNVpaWjJd8qqsrIzt27dj+vTp+Pjjj2FlZVVtWx8fH+zZsweJiYmwsbHB77//Djs7O3Tr1k2iXVBQEJycnDB27NhKx+DxeHWaKdbb2xuTJk1Cbm4udHR0AAAhISHIz8/H+PHjAQCffvopfv/9dxw5cgS2trbYvXs3PD09ER8fDyMjo1q/9pUrV2BlZYVr164hIiICc+bMwc2bNzFw4EBERUXhxIkTWLBgAYYNGwYrKysIBAJ4enrCzc0N169fh4qKCrZu3YoRI0bg3r17WLFiBR4+fIjs7GwEBAQAAIyMjJCcnAwAWL16Nfbu3YuuXbtCQ0MDISEhEvWcP38e48ePx+eff46jR4+iuLgYFy5cqPX7a4oSExNx/vx5BAcH48qVKxKnWbW1tTF8+HCMGjUK7733Hi2/QAipWcNkr8ZNlp6d3NzcSn9VNtQtNzdX6vck7q1gjLE+ffqw2bNnM8aq79nJzMxk48aNY5s2bWKMMTZkyBD21VdfVWrv7OzMxowZI/NnLA2BQMBMTEzY0aNHuW3Tpk1jU6ZMYYyJPntVVVUWFBTE7S8uLmaWlpZs9+7dld4PY9L37Nja2rLS0lJum5OTExswYAD3uKSkhGlra7NffvmFMcbYTz/9xJycnCR6EYqKipimpiYLCQnhjiv+byAm7tnZv3+/xPaKPTtubm7M29u7po/rnZpaz05JSQm7efMm++yzz5irq2ul3387Ozu2aNEidunSpSbznggh9UuuPTvSuH37NvLz8zFw4EB5HZLIya5duzB06FCsWLGixnazZ8/GJ598ghkzZiAyMhInT57E9evXJdowxmpVQ8eOHfHixQsAwIABA3Dx4sVKbVRUVDB58mQEBQXBx8cHeXl5+OOPP3D8+HEAwNOnTyEQCNCvXz/uOaqqqujVqxcePnxYq7rK16ekVDZe38zMDJ06deIeKysrw9jYGOnp6QCAu3fvIj4+Hrq6uhLHKSwsxNOnT9/5ej169Khxf2xsLObNmyfLW2iS+Hw+/vzzTwQHB+PChQvIyMjg9ikpKaFv377c+JsOHTrQZH6EkFqRW9jx8fHB48ePUVpaKq9DNkpaWlrIzc1V2GvXxsCBA+Hp6Yk1a9bAz8+v2nYjR47E/PnzMWfOHIwePRrGxsaV2rRr1w6PHj2SuYYLFy5AIBAAQI0Dcb29vTFo0CCkp6cjNDQUmpqaGDFihMyvJ6akpFQpoInrKE+8zpsYj8ercpv4lG5ubi66d++OoKCgSsdq1arVO+t616DZ5jxY+cmTJ9zg4mvXrqGkpITbp6+vj5EjR2LUqFEYMWJElb+DhBAiK7mFncuXL1f5JdLc8Hi8Jnl1x86dO9GlS5dKS3yUp6KigpkzZ2L37t1V9rwAwPTp0zF16lT88ccflcbtMMaQnZ1d5bgdW1tbqers27cvrK2tceLECVy8eBGTJk3iQoeDgwPU1NQQERHBHU8gECA6OhpLliyp8nitWrVCamoqGGNcr0BsbKxUtdSkW7duOHHiBExNTaGnp1dlGzU1tVqHf1dXV1y+fBmzZs2qS5mNgkAgQEREBM6dO4fg4OBKl9g7OTlh1KhRGD16NPr27VspZBJCSF3JLexYWlrK61CkHri4uMDb2xsHDhyosd2WLVuwcuXKav+injx5MneJ+tq1azF8+HC0atUK9+/fx759+7B48eI6X3o+ffp0+Pv74/HjxwgLC+O2a2trY+HChVi5ciWMjIxgY2OD3bt3Iz8/H3PmzKnyWIMHD8br16+xe/duvP/++7h06RIuXrxYbUCRlre3N/bs2YOxY8di8+bNsLKywosXL3Dq1Cl8+umnsLKygp2dHUJCQhAXFwdjY2OZBm9v2LAB7u7ucHBwwNSpU1FSUoILFy5g1apVdaq7oWRkZODSpUsIDg7GpUuXwOfzuX0qKioYNGgQRo0aBS8vL7Rt21aBlRJCWoJahR2hUIj4+Hikp6dXulKLxuw0Xps3b8aJEydqbKOmpgYTE5Nq9/N4PBw7dgyHDh3C4cOHsW3bNqioqKBt27aYOXMmPD0961ynt7c3tm3bBltbW4nxOYCoh0ooFMLHxwc5OTno0aMHQkJCqp1HyNnZGd999x22b9+OLVu2YOLEiVixYgUOHTpUpxq1tLRw7do1rFq1ChMmTEBOTg5at24Nd3d3LkjNmzcP4eHh6NGjB3JzcxEWFgY7Ozupjj948GCcPHkSW7Zswc6dO6Gnp9eo/99ijOG///7jTk9FRkZK/NtgYmICLy8vjBo1CsOGDavTVXuEECIrHpNxxOnff/+N6dOn48WLF5XGQvB4vCY5Zkd86oXP51f6i7+wsBAJCQmwt7eHhoaGgiokRHb1/btbWFiI8PBwLuCIB6CLubq6YvTo0Rg1ahR69uwJZWVluddACGnZavr+Lk/mnp0PPvgAPXr0wPnz52FhYUFXRxDSgqSkpHBz34SGhkrMOaWurg53d3fu9JSNjY0CKyWEkDIyh50nT57gt99+g6OjY33UQwhpZPLz83H69GkcPnwYV65ckdhnaWnJXRo+dOjQJjl4nxDS/Mkcdnr37o34+HgKO4Q0Y4wx3Lp1C4cPH8bx48eRnZ3N7evVqxcXcLp06UK9u4SQRk+qsHPv3j3u/uLFi7F8+XKkpqbCxcWl0mWirq6u8q2QENJgUlNT8dNPPyEgIEBiokZbW1vMmjULvr6+Ug+yJoSQxkKqsCP+6638gOTZs2dz98X7muoAZUJasuLiYpw/fx4BAQG4cOEC9/+wpqYmJk6ciFmzZmHw4MESM0wTQkhTIlXYSUhIqO86CCEN7P79+zh8+DB+/vlniWUa+vTpg1mzZmHKlCl0iTghpFmQKuzY2tqiqKgI6urq9V0PIaQevX37Fr/88gsCAgIQExPDbTc3N8fMmTPh5+cHZ2dnBVZICCHyJ/UAZX19fbi5uWHIkCEYMmQI+vTpQ9O6E9IElJaWIiQkBAEBATh9+jSKi4sBiNYDGz16NGbNmoURI0ZARUVuE6oTQkijIvW/bv7+/ggPD8fhw4exceNGaGpqom/fvhg6dCiGDBlCk4YR0sgUFRUhKysLs2bNQlRUFLfd1dUVs2bNgre3t1SLlhJCSFMn9YhDPz8/BAYG4vnz54iPj8fXX38NS0tL+Pv7o1+/fjA0NISXl1d91kpIvdq4cSO6dOmi6DIkBAYGwsDAQOr2paWlyMjIwKNHj/DkyRPw+XykpqbC0NAQixYtQkxMDGJjY7FkyRIKOoSQFqNWl1e0adMGs2fPxpEjRxAeHo41a9aAx+Ph0qVL8q6P1JKfnx94PB527twpsf3MmTMS86KEh4eDx+PB0NAQhYWFEm2jo6PB4/EqzaPCGMOhQ4fQu3dv6OjowMDAAD169MD+/fslZtRtalasWIHLly/X++v4+flJvVjqlClTKq0SXhFjDDk5OXj+/Dnu3r2L58+fIzc3F4Doiqp9+/YhOTkZX3/9Nbp160bz4hBCWhyZw05iYiKOHDmCWbNmwd7eHq6uroiKisKKFSskVqgmiqehoYFdu3YhMzPznW11dXVx+vRpiW0//vhjlVP++/j4YMmSJRg7dizCwsIQGxuLdevW4Y8//sCff/4pt/qlJRAI5HIcHR2dald7VwSBQABNTU2YmppWub+4uBgpKSn4999/ERcXh4yMDAiFQqirq6N169Zo164dTE1NMXLkSFrXjRDSokkddmbPno02bdrA1dUVv/76K5ycnHDs2DFkZmYiNDQU69ata9SrMrdEHh4eMDc3x44dO97Z1tfXF4cPH+YeFxQU4Pjx4/D19ZVo9+uvvyIoKAi//PILPvvsM/Ts2RN2dnYYO3Ysrly5giFDhtSp5kePHqF///7Q0NBAhw4d8Ndff4HH4+HMmTMAgOfPn4PH4+HEiRMYNGgQNDQ0EBQUhDdv3mDatGlo3bo1tLS04OLigl9++YU77qFDh2BpaSmxEjcAjB07lpszquJpLHEPzPbt22FmZgYDAwNs3rwZJSUlWLlyJYyMjGBlZYWAgACJYyYlJWHy5MkwMDCAkZERxo4di+fPn3OvceTIEfzxxx9cr1l4eHi176viaSyhUIhjx47BxcUFurq6cHZ2xscffwwlJSWYmJjAyckJnTp1goWFBdTU1Or034IQQpoLqQcoBwYGwsbGBp9//jnc3d3RtWvXFt0dnpeXV+0+ZWVlib+ka2qrpKQETU3Nd7atzZpDysrK2L59O6ZPn46PP/4YVlZW1bb18fHBnj17kJiYCBsbG/z++++ws7NDt27dJNoFBQXByckJY8eOrXQMHo9Xp3lZSktLMW7cONjY2CAqKgo5OTlYvnx5lW1Xr16NvXv3omvXrtDQ0EBhYSG6d++OVatWQU9PD+fPn4ePjw8cHBzQq1cvTJo0CYsXL0ZYWBjc3d0BiC7DvnTpEi5cuFBtTVeuXIGVlRWuXbuGiIgIzJkzBzdv3sTAgQMRFRWFEydOYMGCBRg2bBisrKwgEAjg6ekJNzc3XL9+HSoqKti6dStGjBiBe/fuYcWKFXj48CGys7O5kGRkZITk5OQq31dISAgA0e/FmzdvcObMGSxbtgyzZs3C+vXroaqqitu3b6Nz5850gQAhhFSHSenRo0fs4MGDbMqUKczMzIwZGBiwUaNGsT179rDo6GhWWloq7aE4tra2DECl24cffsgYY6ygoIB9+OGHzMjIiGlra7MJEyaw1NRUiWO8ePGCvffee0xTU5O1atWKrVixggkEApnq4PP5DADj8/mV9hUUFLAHDx6wgoICie1V1S2+vffeexJttbS0qm07aNAgibYmJiZVtpOVr68vGzt2LGOMsT59+rDZs2czxhg7ffq0xPHCwsIYAJaZmcnGjRvHNm3axBhjbMiQIeyrr76q1N7Z2ZmNGTNG5nqkcfHiRaaiosJSUlK4baGhoQwAO336NGOMsYSEBAaA7d+//53H8/LyYsuXL+cejx07lvscGGPs+++/Z5aWltzv7oYNG1jnzp25/b6+vszW1lbid9vJyYkNGDCAe1xSUsK0tbXZL7/8whhj7KeffmJOTk5MKBRybYqKipimpiYLCQnhjiv+byNW1fsqLi5m+/fvZ7q6uiw6OppFR0czFxcX9t5777GXL19W+p2sqLrfXUIIaS5q+v4uT+rTWE5OTvjggw9w/PhxpKamIiIiAu+99x5u3bqFUaNGwcjICKNGjZIpaEVHRyMlJYW7hYaGAgAmTZoEAFi6dCnOnTuHkydP4urVq0hOTsaECRO455eWlsLLywvFxcW4efMmjhw5gsDAQKxfv16mOpq7Xbt24ciRIxJrHVVl9uzZCAwMxLNnzxAZGQlvb+9KbVi5JUNk0bFjR+jo6EBHRwcjR46ssk1cXBysra1hbm7ObevVq1eVbXv06CHxuLS0FFu2bIGLiwuMjIygo6ODkJAQJCYmcm28vb3x+++/o6ioCICol2rq1Kk1LoPQsWNHif1mZmZwcXHhHisrK8PY2Bjp6ekAgLt37yI+Ph66urrc+zUyMkJhYSGePn1a7euIde/eHVlZWYiPj8e9e/fw9u1bbikWQ0NDxMfHY+LEiWjdujWNwyGEECnVehaxDh06wNjYGIaGhjA0NMTx48dx8eJFmY5R8dLXnTt3wsHBAYMGDQKfz8ePP/6IY8eOYejQoQCAgIAAODs74++//0afPn3w559/4sGDB/jrr79gZmaGLl26YMuWLVi1ahU2btxYr2MWxFe7VKXi6QTxF2FVKn7Risd2yNPAgQPh6emJNWvWwM/Pr9p2I0eOxPz58zFnzhyMHj26ysG67dq1w6NHj2Su4cKFC9xA4vKn7Wqr4mm9PXv24KuvvsL+/fvh4uICbW1tLFmyhJtADwBGjx4NxhjOnz+Pnj174vr169i3b1+Nr1Nx4kwej1flNvFYoNzcXHTv3h1BQUGVjlXTpd7iK+FevXolEWLU1NSgpKSEzp07Q0VFBZqami369DEhhNSGTGEnPT0d4eHhCAsLQ3h4OB4/fgw1NTX06tULS5curdPg1OLiYvz8889YtmwZeDweYmJiIBAI4OHhwbVp3749bGxsEBkZiT59+iAyMhIuLi4wMzPj2nh6emLhwoX477//0LVr1ypfq6ioiPvrHgCys7NlrleWMTT11VYWO3fuRJcuXeDk5FRtGxUVFcycORO7d++uNrhOnz4dU6dOxR9//FFp3A5jDNnZ2VWO27G1tX1njU5OTkhKSkJaWhr33zQ6OvqdzwOAiIgIjB07FjNmzAAgGsj7+PFjdOjQgWujoaGBCRMmICgoCPHx8XBycqo0JqmuunXrhhMnTsDU1BR6enpVtlFTU0NpaSlKSkqQmZmJjIwMPHnyBABQUlICFRUVGBsbw9jYGP/++y94PB43u7GrqysuX76MWbNmybVuQghpzqQ+jeXs7AwLCwv4+Pjg/v37eP/99/Hnn38iMzMTV69excaNGzFo0KBaF3LmzBlkZWVxPQ+pqalQU1OrNKGamZkZUlNTuTblg454v3hfdXbs2AF9fX3uZm1tXeu6mwoXFxd4e3vjwIEDNbbbsmULXr9+DU9Pzyr3T548GVOmTMG0adOwfft23L59Gy9evEBwcDA8PDzqNP3AsGHD4ODgAF9fX9y7dw8RERFYu3YtALyzN6Nt27YIDQ3FzZs38fDhQyxYsABpaWmV2nl7e+P8+fM4fPhwlafp6srb2xsmJiYYO3Ysrl+/joSEBISHh+Pjjz/Gy5cvAQDW1ta4c+cOzp49i7t374LP53PPt7a2hqurK6ytraGlpVXp+Bs2bMAvv/yCDRs24OHDh7h//z527dol9/dBCCHNidRhZ9y4cbh48SIyMzNx48YNbNmyBe7u7nIbN/Djjz9i5MiRsLS0lMvxarJmzRrw+XzulpSUVO+v2Rhs3ry50qXXFampqcHExKTacMHj8XDs2DF8+eWXOHPmDAYNGgRXV1ds3LgRY8eOrTYkSUNZWRlnzpxBbm4uevbsiblz5+Lzzz8HgHf+nq1duxbdunWDp6cnBg8eDHNz8yon7hs6dCiMjIwQFxeH6dOn17rW6mhpaeHatWuwsbHBhAkT4OzsjDlz5qCwsBAaGhpITEyEm5sbrKys4OPjg2HDhiE5OZlbfFNPT6/GMUSDBw/GyZMncfbsWXTp0gVDhw7FrVu35P4+CCGkOeGx2o44laMXL16gTZs2OHXqFHdq5MqVK3B3d0dmZqZE746trS2WLFmCpUuXYv369Th79ixiY2O5/QkJCWjTpg3++eefak9jVSQ+9cLn8yudeigsLERCQgLs7e1pQKgCREREoH///oiPj4eDg4Oiy6mV4uJipKWlIT09nRvgraOjA0tLS+jq6tbbGBz63SWENHc1fX+XJ1XPzrJly2qcK6aiNWvW4O3bt1K3DwgIgKmpqcTaWt27d4eqqqrE9P1xcXHcX8YA4Obmhvv370sMAA4NDYWenp7EWA3SdJw+fRqhoaF4/vw5/vrrL8yfPx/9+vVrkkFHIBAgKSkJ9+/fR1paGhhj0NHRQbt27eDk5AQ9PT0abEwIIQ1AqrDz1VdfybTm0bfffousrCyp2gqFQgQEBMDX15cbhAkA+vr6mDNnDpYtW4awsDDExMRg1qxZcHNzQ58+fQAAw4cPR4cOHeDj44O7d+8iJCQEa9euxUcffQR1dXWp6yWNR05ODj766CO0b98efn5+6NmzJ/744w9FlyWTqkKOtrY22rZtSyGHEEIUQKqrsRhjaNeundT/QMvSC/TXX38hMTGRm7K/vH379kFJSQkTJ05EUVERPD098d1333H7lZWVERwcjIULF8LNzQ3a2trw9fXF5s2bpX590rjMnDkTM2fOVHQZtSIQCJCamorXr19zY6O0tbVhaWlJAYcQQhRIqjE7R44ckfnA77//fr1dRi1vNGaH1IVAIODG5DSmkEO/u4SQ5k7aMTtS9exUXAyyJWoE47hJI1NVyNHS0kLr1q0bRU8O/c4SQohIrWdQbinEsyEXFxfLZeZf0vRVF3IsLS2hr6+v8JAjJp49mhYIJYS0dBR23kFFRQVaWlp4/fo1VFVVa5wDhTRvJSUlyMjIwJs3b7heEw0NDZiamnKXkJefmVuRhEIhXr9+DS0tLYmB/4QQ0hLRv4LvwOPxYGFhgYSEBLx48ULR5RAFEAqFyM7ORnZ2Nhdy1NTUoK+vD2VlZbx58wZv3rxRcJWVKSkpwcbGptH0NBFCiKJQ2JGCmpoa2rZtK7GoJGn++Hw+AgMDcfToUe4KQ2dnZyxatAhubm6NPkSIFxElhJCWjsKOlJSUlOiKlhYiMzMT+/btw1dffcUtElt+SQwKEIQQ0rRIFXYmTJgg9QFPnTpV62IIUaSsrCzs378f+/fv5xbndHFxwcaNGzFu3DgKOYQQ0kRJFXb09fW5+4wxnD59Gvr6+ujRowcAICYmBllZWTKFIkIaCz6fj/3792Pfvn1cyOnUqRM2btyI8ePHU8ghhJAmTqqwExAQwN1ftWoVJk+eDH9/f+6S1tLSUnz44Yc1TuhDSGPD5/Nx4MABfPnll9zyJh07dsSGDRswceJECjmEENJMyLzqeatWrXDjxg04OTlJbI+Li0Pfvn0b5VUp7yLtDIykecjOzuZCTmZmJgCgQ4cO2LBhA95//30KOYQQ0kTIdQbl8kpKSvDo0aNKYefRo0fcBGuENEY5OTk4cOAA9u7dy4UcZ2dnLuTQ5HuEENI8yRx2Zs2ahTlz5uDp06fo1asXACAqKgo7d+7ErFmz5F4gIXWVk5ODb775Bl988QXevn0LAGjfvj3Wr1+PyZMnU8ghhJBmTuaw88UXX8Dc3Bx79+5FSkoKAMDCwgIrV67E8uXL5V4gIbWVm5vLhRzx6VUnJyesX78eU6ZMoZBDCCEthMxjdsoTz0HS1Me50Jid5iU3Nxffffcd9uzZg4yMDABA27ZtsX79ekybNo1CDiGENBP1NmanPAoGpDHJy8vDd999h927d3Mhx9HRkQs5tEYUIYS0TDJfdpKWlgYfHx9YWlpCRUUFysrKEjdCGlpBQQH27t2LNm3a4NNPP0VGRgYcHBxw5MgRPHz4ED4+PhR0CCGkBZP5G8DPzw+JiYlYt24dLCwsGv36QKR5i46OxowZM/D48WMAQJs2bbBu3TrMmDGDAg4hhBAAtQg7N27cwPXr19GlS5d6KIcQ6ZSUlGD79u3YvHkzSktLYWlpia1bt2LGjBlQVVVVdHmEEEIaEZnDjrW1NeowppmQOnvy5Al8fHwQFRUFAJg8eTIOHjwIIyMjBVdGCCGkMZJ5zM7+/fuxevVqPH/+vB7KIaR6jDF8//336NKlC6KioqCvr4+ff/4Zx48fp6BDCCGkWjL37EyZMgX5+flwcHCAlpZWpVMG4knbCJGntLQ0zJ07F8HBwQCAIUOGIDAwEDY2NgqujBBCSGMnc9jZv39/PZRBSPXOnDmDefPmISMjA2pqatixYweWLFlCa1gRQgiRisxhx9fXtz7qIKSSnJwcLFmyBIcPHwYAuLq6IigoCJ06dVJwZYQQQpqSOl2bW1hYiOLiYoltNNEgkYeIiAj4+PggISEBPB4PK1euxObNm6Gurq7o0gghhDQxMp8HyMvLw6JFi2BqagptbW0YGhpK3Aipi+LiYnz22WcYOHAgEhISYGtri/DwcOzatYuCDiGEkFqROex8+umnuHLlCg4ePAh1dXX88MMP2LRpEywtLXH06NH6qJG0EA8ePECfPn2wY8cOCIVC+Pr64t69exg4cKCiSyOEENKEyXwa69y5czh69CgGDx6MWbNmYcCAAXB0dIStrS2CgoLg7e1dH3WSZkwoFOLrr7/GqlWrUFRUBGNjY3z//feYOHGioksjhBDSDMjcs/P27Vu0adMGgGh8jvhS8/79++PatWvyrY40ey9fvoSnpyeWLFmCoqIijBw5Evfv36egQwghRG5kDjtt2rRBQkICAKB9+/b49ddfAYh6fAwMDORaHGnejh8/DhcXF/z111/Q1NTEd999h/Pnz8PCwkLRpRFCCGlGZA47s2bNwt27dwEAq1evxrfffgsNDQ0sXboUK1eulHuBpPnJzMyEt7c3pk2bhqysLPTs2RN37tzBwoULaWFZQgghcsdjdVzo6sWLF4iJiYGjoyNcXV3lVVeDys7Ohr6+Pvh8Pl06X88uX74MPz8/vHz5EsrKyli7di0+//xzWryTEEKIzKT9/q7TPDsAYGtrC1tb27oehjRzhYWF+Oyzz7Bv3z4AgKOjI37++Wf07t1bwZURQghp7uocdgh5l9jYWMyYMQP//fcfAOCDDz7AF198AW1tbQVXRgghpCWgxYVIvSktLcWuXbvQq1cv/PfffzAzM0NwcDAOHjxIQYcQQkiDoZ4dUi8SEhIwc+ZM3LhxAwAwbtw4HDp0CK1atVJwZYQQQloahffsvHr1CjNmzICxsTE0NTXh4uKC27dvc/sZY1i/fj0sLCygqakJDw8PPHnyROIYb9++hbe3N/T09GBgYIA5c+YgNze3od8Kgei/V2BgIDp37owbN25AR0cHhw8fxqlTpyjoEEIIUQipenbu3bsn84E7dOgAFZWaD5+ZmYl+/fphyJAhuHjxIlq1aoUnT55IrLG1e/duHDhwAEeOHIG9vT3WrVsHT09PPHjwABoaGgAAb29vpKSkIDQ0FAKBALNmzcL8+fNx7Ngxmesmtff69WssWLAAp0+fBiCaaPLo0aOwt7dXcGWEEEJaNCYFHo/HlJSUGI/Hk+qmrKzMnj59+s7jrlq1ivXv37/a/UKhkJmbm7M9e/Zw27Kyspi6ujr75ZdfGGOMPXjwgAFg0dHRXJuLFy8yHo/HXr16Jc3bY3w+nwFgfD5fqvaksvPnzzMzMzMGgKmqqrIdO3awkpISRZdFCCGkGZP2+1vqMTtRUVFSnYZgjKFTp05SHfPs2bPw9PTEpEmTcPXqVbRu3Roffvgh5s2bB0A07iM1NRUeHh7cc/T19dG7d29ERkZi6tSpiIyMhIGBAXr06MG18fDwgJKSEqKiojB+/PhKr1tUVISioiLucXZ2tlT1ksry8vKwYsUK+Pv7AxD16P3888/o2rWrgisjhBBCRKQKO4MGDYKjo6PUy0EMHDgQmpqa72z37NkzHDx4EMuWLcNnn32G6OhofPzxx1BTU4Ovry9SU1MBAGZmZhLPMzMz4/alpqbC1NRUYr+KigqMjIy4NhXt2LEDmzZtkuq9kOpFRUXBx8eHG0O1ZMkS7Nixgzu9SAghhDQGUoWdsLAwmQ564cIFqdoJhUL06NED27dvBwB07doV//77L/z9/eHr6yvTa8pizZo1WLZsGfc4Ozsb1tbW9fZ6zY1AIMC2bduwdetWlJaWwsrKCoGBgXB3d1d0aYQQQkglCr0ay8LCAh06dJDY5uzsjMTERACAubk5ACAtLU2iTVpaGrfP3Nwc6enpEvtLSkrw9u1brk1F6urq0NPTk7gR6Tx+/Bj9+/fHpk2bUFpaimnTpuHevXsUdAghhDRacgs7SUlJmD17tkzP6devH+Li4iS2PX78mFt+wt7eHubm5rh8+TK3Pzs7G1FRUXBzcwMAuLm5ISsrCzExMVybK1euQCgU0lIEcsQYw8GDB9GlSxfcunULBgYGOHbsGI4dOyZx9RwhhBDS6MhrRHRsbCxTUlKS6Tm3bt1iKioqbNu2bezJkycsKCiIaWlpsZ9//plrs3PnTmZgYMD++OMPdu/ePTZ27Fhmb2/PCgoKuDYjRoxgXbt2ZVFRUezGjRusbdu2bNq0aVLXQVdj1Sw5OZmNHDmSAWAAmLu7O0tKSlJ0WYQQQlo4uV+Ndfbs2Rr3P3v2TOag1bNnT5w+fRpr1qzB5s2bYW9vj/3798Pb25tr8+mnnyIvLw/z589HVlYW+vfvj0uXLkkMgg0KCsKiRYvg7u4OJSUlTJw4EQcOHJC5HlLZqVOnMH/+fLx58wbq6urYtWsXFi9eDCUlhc9HSQghhEiFxxhj0jRUUlICj8dDTc15PB5KS0vlVlxDkXaJ+JYkOzsbn3zyCQIDAwEAXbp0QVBQUKUxVoQQQoiiSPv9LfWf5xYWFjh16hSEQmGVt3/++UcuhRPFu379OlxdXREYGAglJSWsWbMGUVFRFHQIIYQ0SVKHne7du0sMAq7oXb0+pGnYuXMnBg0ahBcvXsDe3h5Xr17F9u3boaampujSCCGEkFqReszOypUrkZeXV+1+R0dHmefjIY3Lzp07sWbNGgDA7NmzsW/fPjqtRwghpMmTesxOc0ZjdoB9+/ZxEy3u2LEDq1evVnBFhBBCSM3kPmanKr/88kuNvT2kafjuu++4oLNx40YKOoQQQpqVOoWdBQsWVJrdmDQtP/74Iz766CMAomU01q9fr+CKCCGEEPmqU9ihM2BN208//cStML906VJs27YNPB5PwVURQggh8kUzw7VQv/76K/z8/MAYw0cffYS9e/dS0CGEENIs1SnsXLx4Ea1btwYA5Ofn4+bNm3IpitSvM2fOYPr06RAKhZg7dy4OHDhAQYcQQkizJfWl51Xp378/d//JkycYMGBAk5xBuSU5f/48Jk+ejNLSUvj4+OD777+npR8IIYQ0a/Qt14KEhoZi4sSJEAgEmDJlCg4fPkxBhxBCSLNH33QtxNWrVzF27FgUFRVh/Pjx+Omnn6CiUqeOPUIIIaRJoLDTAkRERMDLywsFBQXw8vLC8ePHoaqqquiyCCGEkAYh9Z/2Z8+erXF/QkJCnYsh8nfr1i2MHDkSeXl5GDZsGH777Tda54oQQkiLInXYGTdu3Dvb0BU9jcudO3fg6emJnJwcDB48GGfOnIGGhoaiyyKEEEIalNRhRygU1mcdRM7u37+PYcOGISsrC/369cO5c+egpaWl6LIIIYSQBkdjdpqhR48ewcPDA2/evEGvXr1w4cIF6OjoKLosQgghRCHkFnZSUlKQmJgor8ORWoqPj8fQoUORnp6Orl274tKlSy12JXdCCCEEkGPYGTp0KOzt7eV1OFILz58/x9ChQ5GSkgIXFxf8+eefMDQ0VHRZhBBCiELJbaKVo0ePIj8/X16HIzJKSkrC0KFDkZSUhPbt2yM0NBQmJiaKLosQQghROLmFnZ49e8rrUERGKSkpcHd3R0JCAhwdHXH58mWYmZkpuixCCCGkUah12CkuLkZ6enqlq7RsbGzqXBSRXnp6Otzd3fHkyRPY2dnhypUrsLS0VHRZhBBCSKMhc9h58uQJZs+eXWmFc8YYeDweLQTagN68eQMPDw88fPgQVlZWuHLlCqytrRVdFiGEENKoyBx2/Pz8oKKiguDgYFhYWNBEggqSlZWF4cOH4/79+7CwsMCVK1dogDghhBBSBZnDTmxsLGJiYtC+ffv6qIdIITs7GyNGjMA///yDVq1a4fLly2jbtq2iyyKEEEIaJZkvPe/QoQMyMjLqoxYihdzcXHh5eSEqKgpGRkb466+/4OzsrOiyCCGEkEZLqrCTnZ3N3Xbt2oVPP/0U4eHhePPmjcS+7Ozs+q63RcvPz8eYMWNw48YNGBgYIDQ0FK6uroouixBCCGnUpDqNZWBgIDE2hzEGd3d3iTY0QLl+FRYWYvz48QgLC4Ouri4uXbqEbt26KbosQgghpNGTKuyEhYXVdx2kBsXFxZg0aRL+/PNPaGtr48KFC+jdu7eiyyKEEEKaBKnCzqBBg+q7DlINgUCAadOmITg4GBoaGjh37hz69++v6LIIIYSQJkPqAcp2dnaYNWsWfvrpJyQlJdVnTeT/lZaWYubMmTh16hTU1NTwxx9/YMiQIYouixBCCGlSpA47fn5+SEhIwPz582FnZwdHR0fMmzcPv/zyC1JTU+uzxhZJKBRizpw5OH78OFRVVfH7779j+PDhii6LEEIIaXJ4jDEmyxOKiooQERGBq1evIjw8HFFRURAIBGjXrh2GDh2Kb7/9tr5qrTfZ2dnQ19cHn8+Hnp6eosuBUCjEBx98gP/9739QVlbGr7/+igkTJii6LEIIIaRRkfb7W+awU1FmZib27t2Lr7/+Grm5uU3yaqzGFHYYY/j444/xzTffQElJCUFBQZg6dapCayKEEEIaI2m/v2WeQbm4uBiRkZEIDw/nenZat26N999/nwYy1xFjDCtXrsQ333wDHo+HgIAACjqEEEJIHUk9Zmfz5s0YOnQoDA0NsXDhQqSkpGD+/PmIj4/HkydP8OOPP2LmzJkyvfjGjRvB4/EkbuWXoSgsLMRHH30EY2Nj6OjoYOLEiUhLS5M4RmJiIry8vKClpQVTU1OsXLkSJSUlMtXRWKxbtw579+4FAHz//fcyf56EEEIIqUzqnp2NGzfCxsYGe/fuxaRJk2BsbCyXAjp27Ii//vqrrCCVspKWLl2K8+fP4+TJk9DX18eiRYswYcIEREREABBdreTl5QVzc3PcvHkTKSkpmDlzJlRVVbF9+3a51NdQtmzZgm3btgEAvvnmG8ybN0/BFRFCCCHNBJPSpUuX2KpVq1jv3r2Zmpoa69SpE1u0aBE7efIkS09Pl/YwEjZs2MA6d+5c5b6srCymqqrKTp48yW17+PAhA8AiIyMZY4xduHCBKSkpsdTUVK7NwYMHmZ6eHisqKpK6Dj6fzwAwPp9fq/dRV7t27WIAGAC2d+9ehdRACCGENDXSfn9LfRrL09MTO3fuxN9//42MjAzs2rULWlpa2L17N6ysrNCxY0csWrRI5rD15MkTWFpaok2bNvD29kZiYiIAICYmBgKBAB4eHlzb9u3bw8bGBpGRkQCAyMhIuLi4wMzMTKLO7Oxs/Pfff9W+ZlFRUaNZ0+urr77CqlWrAADbt2/HsmXLFFYLIYQQ0hzJvOo5AOjq6uK9997D9u3b8dVXX2HZsmV4+fIlDh48KNNxevfujcDAQFy6dAkHDx5EQkICBgwYgJycHKSmpkJNTQ0GBgYSzzEzM+Pm9UlNTZUIOuL94n3V2bFjB/T19bmbtbW1THXLi7+/P5YsWQIAWL9+PdasWaOQOgghhJDmTKarsYRCIW7fvo2wsDCEh4cjIiICeXl5sLKywvjx42We3XfkyJHcfVdXV/Tu3Ru2trb49ddfoampKdOxZLFmzRqJHpTs7OwGDzyHDx/GwoULAQCrVq3Cxo0bG/T1CSGEkJZC6rAzcuRI3Lx5Ezk5ObC0tMSQIUOwb98+DBkyBG3atJFLMQYGBmjXrh3i4+MxbNgwFBcXIysrS6J3Jy0tDebm5gAAc3Nz3Lp1S+IY4qu1xG2qoq6uDnV1dbnUXBtBQUGYO3cuAOCTTz7Bjh07JFaVJ4QQQoj8SH0ay8DAAHv27EFcXBxevnyJn376CXPmzJFb0AGA3NxcPH36FBYWFujevTtUVVVx+fJlbn9cXBwSExPh5uYGAHBzc8P9+/eRnp7OtQkNDYWenh46dOggt7rk6eTJk5g5cyYYY1i4cCH27dtHQYcQQgipR3WeQbkuVqxYgdGjR8PW1hbJycnYsGEDYmNj8eDBA7Rq1QoLFy7EhQsXEBgYCD09PSxevBgAcPPmTQCiS8+7dOkCS0tL7N69G6mpqfDx8cHcuXNluvS8oWZQ/uOPP/D++++jpKQEs2fPxv/+9z8oKdVq2BQhhBDS4kn7/S3VN+2BAwdQWFgo9Yv7+/sjJyfnne1evnyJadOmwcnJCZMnT4axsTH+/vtvtGrVCgCwb98+jBo1ChMnTsTAgQNhbm6OU6dOcc9XVlZGcHAwlJWV4ebmhhkzZmDmzJnYvHmz1LU2lAsXLmDSpEkoKSnBjBkzcOjQIQo6hBBCSAOQqmdHWVkZqampXAh5Fz09PcTGxsr1FFd9qu+enb/++gujRo1CUVERJk2ahGPHjklMnkgIIYQQ2cl1bSzGGNzd3aX+gi4oKJCuyhbg6tWrGDNmDIqKijB27FgEBQVR0CGEEEIakFTfuhs2bJDpoGPHjoWRkVGtCmpObt68CS8vLxQUFOC9997DiRMnoKqqquiyCCGEkBZFoQOUG4v6OI2VkZEBR0dH8Pl8eHh44Ny5c9DQ0JDLsQkhhBAi5wHKRHYmJibYvXs3Bg8ejD/++IOCDiGEEKIg1LOD+h2gXFpaCmVlZbkekxBCCCHUs9NoUNAhhBBCFIvCDiGEEEKatTqHndLSUsTGxiIzM1Me9RBCCCGEyJXMYWfJkiX48ccfAYiCzqBBg9CtWzdYW1sjPDxc3vURQgghhNSJzGHnt99+Q+fOnQEA586dQ0JCAh49eoSlS5fi888/l3uBhBBCCCF1IXPYycjIgLm5OYCy9Z7atWuH2bNn4/79+3IvkBBCCCGkLmQOO2ZmZnjw4AFKS0tx6dIlDBs2DACQn59PVx4RQgghpNGReZGmWbNmYfLkybCwsACPx4OHhwcAICoqCu3bt5d7gYQQQgghdSFz2Nm4cSM6deqEpKQkTJo0Cerq6gBE88msXr1a7gUSQgghhNRFnWZQLiwsbBbLINTnDMqEEEIIqR/1NoNyaWkptmzZgtatW0NHRwfPnj0DAKxbt467JJ0QQgghpLGQOexs27YNgYGB2L17N9TU1LjtnTp1wg8//CDX4gghhBBC6krmsHP06FEcOnQI3t7eEldfde7cGY8ePZJrcYQQQgghdSVz2Hn16hUcHR0rbRcKhRAIBHIpihBCCCFEXmQOOx06dMD169crbf/tt9/QtWtXuRRFCCGEECIvMl96vn79evj6+uLVq1cQCoU4deoU4uLicPToUQQHB9dHjYQQQgghtVarS8+vX7+OzZs34+7du8jNzUW3bt2wfv16DB8+vD5qrHd06TkhhJAWr6QEyM8HCgpEP8W38o9r2veuxzdvAjY2ci1Z2u9vmXt2AGDAgAEIDQ2tdXGEEEIIkZJQKAoLublAXp7oVpfQUV2Aqe9xt3l59Xv8GtQq7BBCCCGkAoFA9IUuDiUVf9a0r6afBQUN/160tEQ3Tc2y+7I+rrjPzq7h38f/kyrsGBkZ4fHjxzAxMYGhoSF4PF61bd++fSu34gghhBC5KykBcnKA7OzahY/qgktxcf3WzeMB2tqSAaI2oeNdj9XVRa/VjEgVdvbt2wddXV3ufk1hhxBCCJE7oVAUKLKzy4JKbe/n59dvrSoqgI6OKJi866csbTQ1m10IaSh1WhuruaAByoQQUg8YAwoLpQ8iNe3LzRUdT57U1QFd3boFkKp+lltdgNSvehugrKysjJSUFJiamkpsf/PmDUxNTVFaWip7tYQQQhofoVAUNLKygMxM0a2m+3x+5bBSUiLfmpSVAX19UUjR0xPdanNfV5dCSQsic9ipriOoqKhIYq0sQgghjUBxcVkokTa0lA8vQmHda+DxRL0e4rBR24CipwdoaNCpHCIzqcPOgQMHAAA8Hg8//PADdHR0uH2lpaW4du0a2rdvL/8KCSGkJWNMNFZFmnBS1X55jE/R1AQMDABDQ9GtqvsGBqJbVQFFWxtQknnCfkLkRuqws2/fPgCinh1/f3+JRUDV1NRgZ2cHf39/+VdICCHNBWOiUzuvX4tuGRnV33/7tiy0yONUkL7+uwNLdffV1ev++oQokNRhJyEhAQAwZMgQnDp1CoaGhvVWFCGENAmlpcCbNzUHl/KPMzJqf3myiorsIUV8X19fNNaFkBZK5jE7YWFh9VEHIYQoXkGBdL0u4vuZmbW7QkhLC2jVCjAxEf0U38SPTUwAI6OywGJoKHoOjVUhpFakCjvLli3Dli1boK2tjWXLltXY9ssvv5RLYYQQUmd5eUByctW9LFXdr+109kZGlcNLTfe1tOT7PgkhNZIq7Ny5cweC/18z486dO9W2o8kGCSENQiAAUlOBV69EYUb8s+J9Pl/2Y6uq1tzrUvG+kZHoFBMhpNFqNJMK7ty5E2vWrMEnn3yC/fv3AwAKCwuxfPlyHD9+HEVFRfD09MR3330HMzMz7nmJiYlYuHAhwsLCoKOjA19fX+zYsQMqMvzjQ5MKEtJICIWiHpaKwaVimHn9WvrTR9ragJmZ9L0uenp0uoiQJqJeVz2v+EJXrlxB+/bta33peXR0NL7//nu4urpKbF+6dCnOnz+PkydPQl9fH4sWLcKECRMQEREBQHTJu5eXF8zNzXHz5k2kpKRg5syZUFVVxfbt2+v61ggh8iK+Cqm6Xhjxz5QU6VdeVlUFLCyA1q0BS0vRTXy//Db6A4aQFk/mnp3Jkydj4MCBWLRoEQoKCtC5c2c8f/4cjDEcP34cEydOlKmA3NxcdOvWDd999x22bt2KLl26YP/+/eDz+WjVqhWOHTuG999/HwDw6NEjODs7IzIyEn369MHFixcxatQoJCcnc709/v7+WLVqFV6/fi31JIfUs0NIHRQVlYWXmsKMLONhTE2rDi7ltxkb09wthLRw9dazc+3aNXz++ecAgNOnT4MxhqysLBw5cgRbt26VOex89NFH8PLygoeHB7Zu3cptj4mJgUAggIeHB7etffv2sLGx4cJOZGQkXFxcJE5reXp6YuHChfjvv//QtWvXKl+zqKgIRUVF3OPs7GyZaiakxRAKRb0tz54BT58CCQnAy5eSYebNG+mPp69fcy9M69aAubmo14YQQuRE5rDD5/NhZGQEALh06RImTpwILS0teHl5YeXKlTId6/jx4/jnn38QHR1daV9qairU1NRgYGAgsd3MzAypqalcm/JBR7xfvK86O3bswKZNm2SqlZBmq6gIeP5cFGaePi0LNuL7hYXvPoa6es29MJaWolNO5WZeJ4SQhiJz2LG2tkZkZCSMjIxw6dIlHD9+HACQmZkJDQ0NqY+TlJSETz75BKGhoTI9Tx7WrFkjcQl9dnY2rK2tG7QGQhpUVlZZgKkYapKSah7sq6wM2NgADg5AmzaAtXXlYGNkRIN6CSGNlsxhZ8mSJfD29oaOjg5sbW0xePBgAKLTWy4uLlIfJyYmBunp6ejWrRu3TbzG1jfffIOQkBAUFxcjKytLoncnLS0N5ubmAABzc3PcunVL4rhpaWncvuqoq6tDnaY/J82JUCg6rVQx0IhDzdu3NT9fW1sUZBwcJG9t2gC2tnRaiRDSpMkcdj788EP06tULSUlJGDZsGJT+f4BgmzZtJMbcvIu7uzvu378vsW3WrFlo3749Vq1aBWtra6iqquLy5cvcOKC4uDgkJibCzc0NAODm5oZt27YhPT0dpqamAIDQ0FDo6emhQ4cOsr41Qhq3wkLRmJnyp5nEt4QE0emompiZVR1oHBxEA4KpZ4YQ0kw1mnl2AGDw4MHc1VgAsHDhQly4cAGBgYHQ09PD4sWLAQA3b94EIOoJ6tKlCywtLbF7926kpqbCx8cHc+fOlenSc7oaizQab99WPXbm6VPRYOCa/ndVURH1wpTvlSl/n8bLEEKamXq7Gqu0tBSBgYG4fPky0tPTIRQKJfZfuXJF9mqrsW/fPigpKWHixIkSkwqKKSsrIzg4GAsXLoSbmxu0tbXh6+uLzZs3y60GQuQuPx/491/g/n0gPl4y1GRl1fxcHZ2qTzU5OIjG1dBMvoQQUonMPTuLFi1CYGAgvLy8YGFhUWmJiH379sm1wIZAPTuk3qSnA7Gxkre4ONEYm+qYm1d9qqlNG9Esv3S6iRBCANRjz87x48fx66+/4r333qtTgYQ0K0KhqGemYrBJTq66fatWQOfOQLt2koHG3l40WJgQQojcyBx21NTU4OjoWB+1ENI0FBSITkOVDzV371Y9QzCPB7RtC3TpInkzN6ceGkIIaSAyh53ly5fjq6++wjfffEOrnJPm7/VrUZCJjQXu3BH9fPSo6tNQGhqAi4tkqHF1pYHBhBCiYDKHnRs3biAsLAwXL15Ex44doVph/o1Tp07JrThCGoxQKBooXPE01KtXVbc3MQG6dpUMNu3a0QBhQghphGT+l9nAwADjx4+vj1oIaRiFhVWfhsrNrbp9VaehLCzoNBQhhDQRMoedgICA+qiDkPqRkVF2Gkp8e/gQKC2t3FZdverTULq6DVkxIYQQOatVn3tJSQnCw8Px9OlTTJ8+Hbq6ukhOToaenh50aHwCUQShUDSLcMXTUC9fVt3e2LjyaSgnJzoNRQghzZDM/7K/ePECI0aMQGJiIoqKijBs2DDo6upi165dKCoqgr+/f33USYgkxoDHj4GQEODPP4Hr14Hs7KrbOjpWPg1laUmnoQghpIWQOex88skn6NGjB+7evQtjY2Nu+/jx4zFv3jy5FkeIhKws4PLlsoDz4oXkfnV1oFOnyqehaKJIQghp0WQOO9evX8fNmzehpqYmsd3Ozg6vqrtyhZDaKCkBoqNFwSYkBIiKkrzkW00NGDAA8PQEPDxEQYdW5yaEEFKBzGFHKBSitIrBnS9fvoQuDeQkdZWYWNZz89dfldeKat9eFG48PYGBA2m2YUIIIe8kc9gZPnw49u/fj0OHDgEAeDwecnNzsWHDBlpCgsguLw+4erUs4Dx6JLnfwEDUa+PpCQwfLlrskhBCCJGBzAuBvnz5Ep6enmCM4cmTJ+jRoweePHkCExMTXLt2DaampvVVa72hhUAbEGPAvXuicBMSAty4ARQXl+1XUgL69BEFG09PoGdPQFlZcfUSQghptKT9/pY57ACiS8+PHz+Oe/fuITc3F926dYO3tzc0NTXrVLSiUNipZ+npQGhoWe9NWprkflvbsp4bd3dRbw4hhBDyDvW26jkAqKioYMaMGbUujjRzxcVARETZwOI7dyT3a2kBQ4aUBZx27egycEIIIfVGqrBz9uxZqQ84ZsyYWhdDmijGgCdPynpuwsIqrwDepUvZwOK+fUWXiRNCCCENQKqwM27cOInHPB4PFc9+iVdAr+pKLdIM8fmSc948fy6539S0bNzNsGGAmZlCyiSEEEKkCjvCcnOb/PXXX1i1ahW2b98ONzc3AEBkZCTWrl2L7du310+VRPFKS4Hbt8sGFkdFSa4vpaYG9O9fFnBcXUWDjQkhhBAFk3nMzpIlS+Dv74/+/ftz2zw9PaGlpYX58+fj4cOHci2QKFBSUtm4m7/+AjIzJfc7OZWNuxk8mOa8IYQQ0ijJHHaePn0KgyqultHX18fziqcySNMTHQ0cOyYKOBWDq76+5Jw3traKqZEQQgiRgcxhp2fPnli2bBl++uknmP3/OIy0tDSsXLkSvXr1knuBpAGUlgJnzwJffima90ZMSQno1atsYHHPnrQqOCGEkCZH5m+uw4cPY/z48bCxsYG1tTUAICkpCW3btsWZM2fkXR+pT7m5QEAAsH8/8OyZaJuqKjB5MjBunGjOG0NDRVZICCGE1JnMYcfR0RH37t1DaGgoHv3/1P7Ozs7w8PDgrsgijdzLl8DXXwOHDpWtPWVkBCxcCHz0EWBhodDyCCGEEHmq1QzKzU2LmUE5JkZ0qurXX0UrigNA27bA0qXAzJk0wJgQQkglr1+/RmZmJnJzc5GTk4Pc3FzuflFRET766COu7RdffIGIiAiujbjdP//8AyMjI7nXVq8zKJMmRCgEgoNFIefq1bLtgwcDy5YBXl50iTghhDQDBQUFyM7OlggZ4p9CoRBTpkzh2u7btw/379+vFF5yc3PB4/Hw5MkTru2MGTPw559/VvmaPB4PH374IXdm5++//65ySEtOTk69hB1pUdhprvLygCNHRONxxL+0KirA1Kminpxu3RRaHiGEEKC4uBh8Ph/Z2dng8/koLS1Fz549uf2HDh3Cs2fPuP3Z2dnIyclBTk4O9PT0EBYWxrUdPHgwbt26VeXrGBgYSISdCxcu4K+//qqyrZKSEhhjXIAxMDCAgYEBdHR0oKOjA11dXYn7AoEAampqAIA5c+bAw8OjUjszBU8sS2GnuUlOBr75BvD3L5sXx8AAWLAAWLwYaN1aoeURQkhzIBQKoVSuVzwqKgqvX79GdnY2dxOHE319fWzdupVrO3z4cNy9exd8Ph9FRUUSx7Wzs0NCQgL3+H//+x9u375dZQ2GFS4g0dHR4X5WDCYVp4zx8/ODu7t7leFFfByxEydOSP25jBw5Uuq2DYnCTnMRGys6VXX8OCAQiLY5OABLlgB+fkCFX15CCGmpCgoKkJmZiczMTIleFS0tLYwePZprt3TpUiQmJnJtygeYdu3a4U65RY59fHwkTv2UZ29vLxF2MjMzkZ6eLtFGW1sb+vr6MDc3l9g+efJk9O/fH3p6etDX14eenh50dXWhq6tbaYzK+fPnoaamJhHCquPt7f3ONs2JzGFn0KBBmDNnDiZNmgRNTc36qIlISygELl4UhZwrV8q2DxggGo8zejSgrKy4+gghpAHcuHEDGRkZXIDJysri7tvY2EgsZdS6dWskJydXeZyuXbtKhJ3g4GDEx8dX2ZbP50s8dnFx4cKI+Kf4fsUAExAQAMaYRHhRrubf6pUrV0r1GQCAhoaG1G1bGpmvxlqyZAmOHTuGoqIiTJ48GXPmzEGfPn3qq74G0eSuxsrPB376Cdi3D4iLE21TVhbNj7N0qWjyP0IIacQYY8jJyeFCiYqKCjp16sTt37hxI3cVUMVb9+7dcfHiRa6tiYkJ3rx5U+XrdO3aFf/88w/32NHREU+fPoWysjI3FkUcSpycnODv78+1DQgIQGFhYaUAo6enBwMDA4UOuCUi0n5/1+rS85KSEpw9exZHjhzBxYsX4ejoiNmzZ8PHx0fhg5Bqo8mEndRU4NtvgYMHAfH/2Pr6wPz5ovE4/z/JIyGENJTCwkJkZGQgIyMDb9++lQglrVu3xvTp07m2/fr1Q3p6Otf7UlpuMeEhQ4bgSrkealkCjKenJ/h8PgwNDSvdbGxsMGnSJK5tamoqtLS0oKurS3PDNQP1GnbKS09Px6FDh7Bt2zaUlpbivffew8cff4yhQ4fW5bANqtGHnXv3RL04x44BxcWibXZ2ovE4s2cDurqKrI4Q0owwxvDw4UMuwGRkZOD169fcfWdnZ3z22WcARIN0VVVVIRQKqzzW0KFDcfnyZe5xVQFGTU0NhoaG6Nu3L06dOsVt37RpE0pLSyWCi4GBAQwNDWFiYgJLS8t6ePekqWmQsHPr1i0EBATg+PHj0NPTg5+fH169eoVjx47hww8/xBdffFHbQzeoRhl2GBMtxrl3r2jFcbG+fUXjccaNo/E4hBCplJaW4uLFixIBpnyQ6dmzJ/bv3w9AFGDU1NQkel3Kq9gDY2pqiszMTBgbG8PY2FginLi6umLFihVc27/++gvq6uoSbTQ1NamHhdRavU0qmJ6ejp9++gkBAQF48uQJRo8ejV9++QWenp7cL6yfnx9GjBjRZMJOo1JQAAQFiXpyHjwQbVNSAt5/XzQep4mPjyKE1E5hYSEKCwu5S4hLSkpw8ODBKsNLRkYGBg8ejGPHjgEQzZsybty4agOMeI4UcVsHBwcwxmBiYoJWrVrBxMSEu9+2bVuJ5z59+hQ6OjpSBRYPD49avntC6kbmsGNlZQUHBwfMnj0bfn5+aNWqVaU2rq6uEpMiESmkpwPffSe6vX4t2qarC8ybJxqPY2en0PIIIfLFGEN2djaKi4u5f0eLioqwbt06pKamSpw6ev36NfLy8jBx4kT89ttvAABlZWUsXbq02gBT/oojHo+HoUOHQklJqVKAMTExga2trcRz48QXPkhBl06jkyZA5tNY169fx4ABA+Ty4gcPHsTBgwfx/PlzAEDHjh2xfv16blKiwsJCLF++HMePH0dRURE8PT3x3XffSQyCTkxMxMKFCxEWFgYdHR34+vpix44dUFGRPscp9DTWf/+JenF+/hkQTy5lawt88gkwZw7QWE6rEUKkUlpaivz8fC4EFBcXY8+ePUhNTUVKSgpSUlK4+wUFBRIBRigUQl1dHSXitesqqHgKae7cuVBTU5MILuIgY25uDgta1Jc0cw02QLkuzp07B2VlZbRt2xaMMRw5cgR79uzBnTt30LFjRyxcuBDnz59HYGAg9PX1sWjRIigpKSEiIgKA6B+VLl26wNzcHHv27EFKSgpmzpyJefPmScyr8C4NHnYYA0JDRSHn0qWy7b16AcuXAxMmiJZ2IIQ0GiUlJdwfUSUlJfD3968UXlJSUvD69WuMGzcOv//+OwBRgNHQ0IBAPNlnBR4eHggNDeUeb9y4EZqamjAzM5MIMSYmJtDX16fxLYSUU29hp2vXrlX+z8bj8aChoQFHR0f4+flhyJAhslcNwMjICHv27MH777+PVq1a4dixY3j//fcBAI8ePYKzszMiIyPRp08fXLx4EaNGjUJycjLX2+Pv749Vq1bh9evXEueha9JgYaeoSHRF1ZdfAv/+K9qmpASMHy8adOzmBtA/ZIQoRGlpKYKCgqoMMKmpqRg2bBgXYBhj0NDQQLH46sgK+vbty/1RBgDLly+HhoYG19tiYWEBc3NzmJubQ1tbu0HeHyHNUb0NUB4xYgQOHjwIFxcX9OrVCwAQHR2Ne/fuwc/PDw8ePICHhwdOnTqFsWPHSn3c0tJSnDx5Enl5eXBzc0NMTAwEAoHEgLb27dvDxsaGCzuRkZFwcXGROK3l6emJhQsX4r///kPXrl2rfK2ioiKJ9Uiys7Nl/Rhk8/q1aK2qb78F0tJE23R0RKepPv4YaNOmfl+fkBaqtLQUwcHBlQKM+Gffvn25dX+UlJQwf/78SmsViaWkpHD3eTweZs2aBVVV1UoBxsLCotJYxr1799bfmySEvJPMYScjIwPLly/HunXrJLZv3boVL168wJ9//okNGzZgy5YtUoWd+/fvw83NDYWFhdDR0cHp06fRoUMHxMbGQk1NrdLiZWZmZkhNTQUgmhyq4iSG4sfiNlXZsWMHNm3aJM3brZuHD0Wrjh89ChQWirZZWYnG48ydK1qgkxAis5KSEiQnJ+PFixd48eIFEhMTuZ/Ozs748ssvAYhCyZQpU6oNMImJidx9Ho+H999/H0pKSpXCi/h+eeVn2iWENG4yh51ff/0VMTExlbZPnToV3bt3x//+9z9MmzaN+8fmXZycnBAbGws+n4/ffvsNvr6+uHr1qqxlyWTNmjVYtmwZ9zg7OxvW8p59OC9PNAYnN1f0uEcP0amq998HVFXl+1qENDO5ubkSAUZXV5ebiZcxBgMDA+Tl5VX53PKT1ikpKcHLywulpaUS4UX8s3Xr1hLP/fnnn+vvTRFCFEbmsKOhoYGbN2/C0dFRYvvNmze5RcjEA/Kkoaamxh2re/fuiI6OxldffYUpU6aguLgYWVlZEr07aWlp3F9Y5ubmuHXrlsTx0v7/NFHFv8LKU1dXh7q6ulT11Zq2NjBrFpCUJAo5/fvTeBxCIAor6enpyM3NhYODA7d96tSpePz4MV68eIG3b99KPKdnz55c2OHxeLCwsMCLFy9gbW0NGxsb2NrawtbWFjY2NmjXrp3Ec8XjbAghLZfMYWfx4sX44IMPEBMTw82lEx0djR9++IGbQjwkJARdunSpVUFCoRBFRUXo3r07VFVVcfnyZUycOBGAaO6HxMREuLm5AQDc3Nywbds2pKenw9TUFAAQGhoKPT09dOjQoVavL1f794sGIBPSQgUFBeHp06eVTjUVFRWhZ8+eEn+sxMTESKwwra+vzwUYV1dXieP+/fffMDAwqHalaEIIKa9Wl54HBQXhm2++4SaecnJywuLFi7m/vAoKCrirs2qyZs0ajBw5EjY2NsjJycGxY8ewa9cuhISEYNiwYVi4cCEuXLiAwMBA6OnpYfHixQBEvUhA2aXnlpaW2L17N1JTU+Hj44O5c+c27kvPCWnCsrKyKoUX8U9jY2MEBwdzbcUrTFfE4/HQuXNn3Llzh9t25swZqKiocAFHX1+/Qd4PIaTpqpersUpKSrB9+3bMnj0b3t7e1bbT1NSU6njp6emYOXMmUlJSoK+vD1dXVy7oAMC+ffugpKSEiRMnSkwqKKasrIzg4GAsXLgQbm5u0NbWhq+vLzZv3izL2yKEVJCfn48nT54gLi4O+fn58PPz4/b16NGjygADoNIFAxMnTsTbt2+5U03in61bt640NcS4cePk/TYIIQRALXp2dHR08O+//8KuGS1fQD07pKU7evQobt26hbi4OMTFxSEpKYnbZ2pqyo2FA0ST4N29e1civJQfN9O9e3dFvAVCSAtUb/PsuLu74+rVq80q7BDSnPH5fMTFxeHx48dcmMnKysKff/7JtTly5IjEMgSAaIJPJycnODk5ScwefOnSJZmWYyGEEEWT+V+skSNHYvXq1bh//z66d+9eafbPMWPGyK04Qoh0SkpKkJSUBHt7e27bJ598ghMnTkj0ypSXm5sLHR0dAMDkyZPRo0cPLtw4OTnBxMSkyudR0CGENDUy/6v14YcfAkCV8+jweLxqV+AlhNTdmzdv8PDhQ4lemri4ODx9+hQlJSXIy8vjxszl5+dLTMVQPsg4OTlJhJYFCxYo5P0QQkhDUOhCoI0FjdkhjUlRURHi4+O5U09Lly7l5oWaNWsWAgMDq3yepqYmYmNjuXlmHjx4gLy8PLRr146ubCKENEv1NmanvMLCQqknDySEVO3KlSs4d+4c10vz/PlzCIVCbv/YsWPh7OwMAHB2doaNjU2lXhonJydYWVlBqdy8To1irilCCGkEZA47paWl2L59O/z9/ZGWlobHjx+jTZs2WLduHezs7DBnzpz6qJOQJosxhlevXiEmJgYxMTG4ffs2Dh06BCsrKwCieaP2798v8RxdXV0uxJQPMCtXrsSnn37akOUTQkiTJ3PY2bZtG44cOYLdu3dj3rx53PZOnTph//79FHYIAfDvv/9y68jFxMRUGiQcHR3NhZ1BgwZh6dKlEr005ubm4FWxvEhV2wghhNRM5rBz9OhRHDp0CO7u7vjggw+47Z07d8ajR4/kWhwhjV1ycjLXWzNhwgR07twZAHDv3j1s2bKFa6esrIyOHTuie/fu6NGjB7p168btGzBgAAYMGNDgtRNCSEshc9h59epVpUVAAdGaVgKBQC5FEdIYZWdn4+rVqxKno1JTU7n9urq6XNhxc3ODn58fF246d+4s9czihBBC5EvmsNOhQwdcv34dtra2Ett/++03dO3aVW6FEaJIKSkpiImJgaWlJdcL8+jRo0rzSCkpKXE9NuUXq7S3t0dAQECD1kwIIaRqMoed9evXw9fXF69evYJQKMSpU6cQFxeHo0ePSiwASEhTkZqayvXUiHttkpOTAYjmn/H39wcAuLq6wtXVFV27dpXosdHS0lJk+YQQQt5B5rAzduxYnDt3Dps3b4a2tjbWr1+Pbt264dy5c9wCnoQ0VmlpaeDz+dxcNG/fvoWFhUWldkpKSnB2doalpSW3TUNDA3fv3m2wWgkhhMgHTSoImlSwuUpPT5fosbl9+zZevXoFDw8PhIaGcu0cHR2hrq7O9dZ0794dXbp0qbQUCiGEkMal3icVLC4uRnp6usTkZwBgY2NT20MSUmvl13kCgC5dulTZC8Pj8VBQUCCx7eHDh1BVVa33GgkhhCiGzGHnyZMnmD17Nm7evCmxnTFGa2ORBpOfn49r164hJCQEISEhKCgoQEJCArffxMQEPB4PTk5OXG9Njx490KVLF4lQBICCDiGENHMyhx0/Pz+oqKggODgYFhYWNMkZaTCPHj1CcHAwQkJCcP36dRQVFXH7eDweMjMzYWhoCAD44YcfYGxsDF1dXUWVSwghpJGQOezExsYiJiYG7du3r496COG8efMGBgYGUFZWBgDs3bsXP/zwA7ff2toanp6e8PT0hLu7Oxd0AMDOzq6hyyWEENJI1WqenYyMjPqohbRwAoEAf//9N0JCQvDnn3/i9u3biIyMRO/evQEAo0ePxsuXL7mA0759e+pZJIQQ8k4yh51du3bh008/xfbt2+Hi4lJpvANdzURk8fr1a/z+++8ICQnBlStXkJ2dLbH/9u3bXNgZM2ZMpUn9CCGEkHeR+dJz8QrMFf+ibsoDlOnS84aTm5uLvLw8mJmZAQAiIiLQv39/br+xsTGGDRsGT09PDB8+XGKeG0IIIaS8erv0PCwsrE6FkZZFKBTi7t273FVTERERmDNnDg4ePAgA6N27N0aMGIH+/fvD09MT3bp14wI1IYQQIg8yh51BgwbVRx2kGREKhQgKCkJISAhCQ0ORnp4usT8uLo67r6KigosXLzZ0iYQQQlqQWv0Jff36dcyYMQN9+/bFq1evAAA//fQTbty4IdfiSNNQXFyM+/fvc4+VlJSwadMmBAUFIT09Hdra2hg9ejS++eYbPHnyBJcvX1ZgtYQQQloamXt2fv/9d/j4+MDb2xv//PMPN9cJn8/H9u3bceHCBbkXSRoXxhiePHnCXTUVFhYGJSUlvHnzhhuw/sEHH+DNmzfw9PRE3759oaampuCqCSGEtFQyD1Du2rUrli5dipkzZ0JXVxd3795FmzZtcOfOHYwcORKpqan1VWu9oQHK0rl+/Tp3eur58+cS+8zMzHDt2jVugU1CCCGkvtXbAOW4uDgMHDiw0nZ9fX1kZWXJejjSSJWWlnKTR4p/ga5evYrvv/8eAKCmpsYNKh4+fDhcXV1pYDEhhJBGSeawY25ujvj4+Eoz1N64cQNt2rSRV11EAQQCAc6dO4dff/0VoaGhePv2LU6cOIHJkycDEM1zk56eDk9PTwwePJhWBSeEENIkyBx25s2bh08++QSHDx8Gj8dDcnIyIiMjsWLFCqxbt64+aiT1LCkpCf/73//www8/ICUlhduup6eH169fc49dXV1x4MABRZRICCGE1JrMYWf16tUQCoVwd3dHfn4+Bg4cCHV1daxYsQKLFy+ujxpJPUpKSoKdnR2EQiEAwNTUFH5+fhgzZgx69+4NFRWZf0UIIYSQRkXmAcpixcXFiI+PR25uLjp06AAdHR1519ZgWtIA5dTUVPz9998YN24ct23gwIFQUVHBBx98gHHjxtGVU4QQQpqEehugLKampoYOHTrU9umkATHGEBYWBn9/f5w+fRpKSkp4+fIlWrVqBQAICQmBpqamgqskhBBC6gedo2jG3r59iyNHjsDf3x+PHz/mtru5uSEtLY0LOxR0CCGENGcUdpqp8+fPY+LEidykjzo6OvDx8cGCBQvQuXNnBVdHCCGENBwKO81EdnY2UlNTuUn9evXqBcYYunTpgoULF2LatGnQ1dVVcJWEEEJIw5M57GRnZ1c7CCg+Ph6Ojo51LopI786dO/D390dQUBC6deuGa9euAQBatWqFhw8fwt7eHjweT8FVEkIIIYoj85S3Xl5e3KmR8uLi4jB48GCZjrVjxw707NkTurq6MDU1xbhx4yRWxAaAwsJCfPTRRzA2NoaOjg4mTpyItLQ0iTaJiYnw8vKClpYWTE1NsXLlSpSUlMj61pqM/Px8BAQEoHfv3ujWrRsOHTqEvLw8ZGRkICcnh2vXpk0bCjqEEEJaPJnDjo6ODsaPHy8RJh4+fIjBgwdj4sSJMh3r6tWr+Oijj/D3338jNDQUAoEAw4cPR15eHtdm6dKlOHfuHE6ePImrV68iOTkZEyZM4PaXlpbCy8sLxcXFuHnzJo4cOYLAwECsX79e1rfWJHz33XewtLTE7NmzcevWLaiqqmLatGm4evUq/vvvPzpVRQghhFTEZJSfn8/69u3LJk+ezIRCIbt//z4zNTVlS5culfVQlaSnpzMA7OrVq4wxxrKyspiqqio7efIk1+bhw4cMAIuMjGSMMXbhwgWmpKTEUlNTuTYHDx5kenp6rKioSKrX5fP5DADj8/l1fg/yVlhYyHJzc7nHx44dYwCYvb0927lzJ0tLS1NgdYQQQojiSPv9LXPPjqamJs6fP4+4uDhMnjwZ7u7umDlzJr788ss6By8+nw8AMDIyAgDExMRAIBDAw8ODa9O+fXvY2NggMjISABAZGQkXFxeYmZlxbTw9PZGdnY3//vuvytcpKipCdna2xK2xefbsGVavXg1ra2t888033PYJEybg0qVLiI+Px6pVq2BqaqrAKgkhhJDGT6qwUzEYKCkp4cSJE4iKisLEiROxbt26OocGoVCIJUuWoF+/fujUqRMA0Wy/ampqMDAwkGhrZmaG1NRUrk35oCPeL95XlR07dkBfX5+7WVtb17pueSopKcGZM2cwYsQIODg4YNeuXXj9+jWCg4O5Nurq6vD09KQVxgkhhBApSXU1loGBQZUDXRlj8Pf3x/fffw/GGHg8HkpLS2tVyEcffYR///0XN27cqNXzZbFmzRosW7aMe5ydna3wwLNjxw588803SE5O5rZ5enpi4cKF8PLyUmBlhBBCSNMmVdgJCwur1yIWLVqE4OBgXLt2DVZWVtx2c3NzFBcXIysrS6J3Jy0tDebm5lybW7duSRxPfLWWuE1F6urqUFdXl/O7kI1QKJTonXnw4AGSk5PRqlUrzJ49G/Pnz0ebNm0UWCEhhBDSPEgVdgYNGlQvL84Yw+LFi3H69GmEh4fD3t5eYn/37t2hqqqKy5cvc1d6xcXFITExEW5ubgBESx9s27YN6enp3PiV0NBQ6OnpNcq1u9LS0hAQEIBDhw7h7Nmz3Cm75cuXw8vLC+PHj1d4ECOEEEKaE5lXPQ8ICICOjg4mTZoksf3kyZPIz8+Hr6+v1Mf68MMPcezYMfzxxx9wcnLituvr63PrNS1cuBAXLlxAYGAg9PT0sHjxYgDAzZs3AYguPe/SpQssLS2xe/dupKamwsfHB3PnzsX27dulqqO+Vz1njOHq1avw9/fHqVOnIBAIAIguq5fHwG5CCCGkJZL6+1vWy7zatm3Lrly5Uml7eHg4a9eunUzHAlDlLSAggGtTUFDAPvzwQ2ZoaMi0tLTY+PHjWUpKisRxnj9/zkaOHMk0NTWZiYkJW758ORMIBFLXUV+Xnufn57N9+/YxJycniffXp08fFhgYyPLy8uT6eoQQQkhLIu33t8w9OxoaGnj06BHs7Owktj9//hzOzs4oKCiQ5XCNQn317BQXF8Pa2hrp6enQ0dHBjBkzsGDBAnTp0kVur0EIIYS0VNJ+f8u8NpapqSnu3btXKezcvXsXxsbGMhfanKmpqWHjxo3g8Xjw9vam2Y0JIYQQBZA57EybNg0ff/wxdHV1MXDgQACiZR8++eQTTJ06Ve4FNnULFy5UdAmEEEJIiyZz2NmyZQueP38Od3d3qKiIni4UCjFz5kypBwQTQgghpBEqKBDdBAKgpKTsJn7s5ASoqoraPn0KJCZW3a6kBBg1CqiHi35qQ+YxO2KPHz/G3bt3oampCRcXF9ja2sq7tgZT31djEUIIaUZycoDCQtEXe8UbALi6lrW9dQt4/bpsf3Fx2X0eD5g7t6ztsWPAo0dVH7e0FDh8uKztjh3A9euVQ4n49vffgHgak6VLgZMnK4cR8S09HRAPQ/ngA+D776t/7y9eADY2ovvLlwM1XVH84AHg7Cz951oL9TZmR6xdu3Zo165dbZ9OCCGkpWJM9EUvlpIiCgFV3bS1gW7dytr+/rsobFTV1tRU9GUttnp19ce2sgJ++qms7XvvAQ8floWB8kGjdWsgPr6s7dChwO3bVb83ExNRuBH79FPg6tWq22pqSoadoCDgwoXqP7cffgDEk9HeuQNcvFh9W4GgLOxkZQGvXlXftqSk7L6KiuR98U1VVfSzfP+IhQXQoUPlNuKbhkb1r9nAatWz8/LlS5w9exaJiYkoLi6W2NcU542hnh1CSLPEmOiLvaio7KahIfpCBkRfiBERkvsLC8vuOzoCnp6itsXFwKpVkm3Lt+/bF9i4sey1nZ1F26sKGh4ewKVLZW11dYHc3Krfw4ABwLVrZY/NzYH/nyW/kq5dgX/+KXvs6Cg61VKVtm2Bx4/LHru6AvfvV93W0lIyLPTtC0RGAsrKoi/48jdjY6D8ItQffADExFRup6oqCjsnTpS1PXhQ9Nyq2qqoACtWiF4TAMLCRL0sFQOG+PHQoWXB5flzIDOz6nYqKkCrVmXHLSkRBVElJclA2kjVW8/O5cuXMWbMGLRp0waPHj1Cp06d8Pz5czDG0K18+iaEkJZOKCwbA1FQAOjoAIaGon3Z2aKgUX5/+VvfvsCwYaK2qanAypWVg4b4NnmyKIgAop6M9u3L9lU0bx5w6JDofm4uMGRI9fVPnVoWdpSUgP37q29b8a/4Z89EwaYq4tM9YpqaotM0amqiL2E1tbJbuSWEAIi+xPl8yTbim/j0itiKFaJeoKraVlhgGkeOiD6vqoJGxVntr10ThQNpwoC//7vbiMlyQUtN/90qsrMT3aShInMsaBJkfldr1qzBihUrsGnTJujq6uL333+HqakpvL29MWLEiPqokRBC5Cs/X/SXujhYFBZKBo3u3UUDMQHRl/YPP1QfSubNA6ZMEbX95x/R6RDxMSt+2W/aBKxfL7r/4oWobXVWriwLOwUFwM8/V9+2d++y+yoqoiBVFfHAUjENDVEPjLp65ZuGRuXjrlkjCgpVta84bvPKFdFzxOGifIjR0pJsm55e/Xur6Ngx6duWP6X1Ll27St+2mQaC5kzm/2IPHz7EL7/8InqyigoKCgqgo6ODzZs3Y+zYsXSpNSGk9kpLRT/FXepv3ogGbObliW65uZL3J0wAXFxEbSMigG3bJNuIb/n5olMEs2aJ2l69WnPQ+OqrsrDz6pVoMGh1hg4tu6+kVP0pFjU1UU+PmL6+aCyKhoaoZ6P8TUMD6NOnrK2JCbBnT1kIqRg0yv/VbmQkOj1TMbioqZWN9xDT1BQNIpWWLFfc9usnfVtC6pnMYUdbW5sbp2NhYYGnT5+iY8eOAICMjAz5VkcIaXwYE/U0qKmV/YWbkiIa3FkxjIjv+/qWhYdLl4Ddu6sOL4WFwKlTwPjxorYhIYC3d/W12NuXhZ3MzJoHbObnl93X1haNExEHi4phw9KyrK21NfDxx5XbiG/lZ0R3cgJiY6sOL+IAJ2ZjIxrLIQ1dXdEpGWkoK4vGoxBCODKHnT59+uDGjRtwdnbGe++9h+XLl+P+/fs4deoU+pT/S4QQ0vgIBKIrM/h80akOPl/yNnmyaAAoAJw5I7oEtfz+7GxRKGFMdJpCPG7gzBngww+rf93evcvCTkaGaHBldfLyyu6bmAAODqJwoqMj+ln+vqNjWdsuXYCAgLI25dtpapYNygWAgQOrP9VTkZ2dqKdHGpqaQOfO0rUlhDQYmcPOl19+idz/HzW/adMm5Obm4sSJE2jbtm2TvBKLkCaBMVGvhzh02NmVDZqMjgZu3KgcSsT3jxwpm+tizx7g88+rf53OncvCzqtXklfMVFT+6hlzc6Bjx8ohQ3y//GmW/v1F4y6qCi/a2pIDR4cPl7zktyZWVoCfn3RtCSEtisxhp02bNtx9bW1t+Msy0pyQlqy4WNSr8fq16GdGhmRAWbKkrPfh++8le1WysyWvYImNLetB+PNPYO3a6l83Pb0s7Ojri35qa4vu6+uLZjgV3y8fNNzdgcDAyu3KBxOx8ePLTj29iyxXhhBCiBzUKuxER0dXWvQzKysL3bp1w7Nnz+RWHCGNXkoKkJAgGWDE91+/Fs14amYmartmTc2zjU6aVBZ2MjJEk4ZVxOOJQkdhYdm2zp2B6dMlQ0v5gNKpU1nbefOABQuku5qkfXvRjRBCmjiZw87z589RKr5iopyioiK8qmmGRkKain//FU0uVj60lA8yf/5ZNoD1iy9qDjApKWVhx8RENHjUxER0MzYW9aSUDydikyeLrtSpqlel4hU1o0aJbtJQU5P6YyCEkOZC6rBz9uxZ7n5ISAj0y/3DXFpaisuXL8OOuqZJYyAUiq7MMTAouwLm6lXg5s3KAUb88+FD0VU3gOjUzd691R8/Pb0s7Fhbi64IatVKFGDEP8X3W7cue96KFaKJ3yqGlaq0bUtX1BBCiJxIHXbGjRsHAODxePD19ZXYp6qqCjs7O+yt6QuCkLoSr2winrX0zz9FVwQlJgIvX5aFl7dvRYEnMbEswAQHi3phqpORUda2Y0fRVUYVg4v4frlxa1iyRHSTRsUJ3QghhDQIqcOO8P8nw7K3t0d0dDRMyl/GSYi8pKSIJpFLTASSkkQ/xbekJCAurqxXJTS05gDz5k1ZgOnTRzShXMXwIv5Zfpr5WbPKJp8jhBDS5Mk8ZichIaE+6iDNHWOi0z9VBZhvvikb1/LllzUHmMTEsrAzZIjoCicbG9Flx6amZeHF2FiyJ2XiRNGNEEJIiyN12ImMjMSbN28wqtxAyKNHj2LDhg3Iy8vDuHHj8PXXX0O94oJppGXIzS0LMklJwPvvl13GvGOHaE2gqhYlBIDly8vCTtu2QLt2ogAjvllbl90vPy7svfdqnvKfEEIIgQxhZ/PmzRg8eDAXdu7fv485c+bAz88Pzs7O2LNnDywtLbFx48b6qpUoSkmJ6PSSqWnZRHZnzoguqxaHm7dvJZ/TqVPZ2j46OqKgw+OJemUqhhjxqSYAmD9fdCOEEELkROqwExsbiy1btnCPjx8/jt69e+N///sfAMDa2hobNmygsNOUPX8uumpJPGZGfHv1SrRAY2RkWYBJSgLOnZN8vr5+WYApfwpp+nRg9GjRlUk0SJcQQkgDkzrsZGZmwkx8qgHA1atXMXLkSO5xz549kZSUJN/qSP148wa4e1c0C+/775cNzv399+oXG1RREY25EXN3F60iXb6Xpvw8MeUZG4tuhBBCiAJIHXbMzMyQkJAAa2trFBcX459//sGmTZu4/Tk5OVClv9obn9evRb014nATGyu6TFvM3FzU8wIAvXoBgwaJVpG2s5McK2NmJrlqc4cOohshhBDSyEkddt577z2sXr0au3btwpkzZ6ClpYUBAwZw++/duwcHB4d6KZJIIT9fNOvv3buiU02urqLtkZGiZQgqatNGtMyAqWnZtgEDgPDwBimXEEIIaShSh50tW7ZgwoQJGDRoEHR0dHDkyBGolZt6/vDhwxg+fHi9FEkqyM0Frl8v6625exd4/Fg0kR4AbN5cFna6dAF69BD97NxZ9NPVVbT8ACGEENICSB12TExMcO3aNfD5fOjo6EC5/CkNACdPnoSOjo7cC2zRSkpEk+jFxopOKQ0cKNqemFj1JdempqIwU/7ybBsbIDq6AYolhBBCGieZJxXUr2YQqpGRUZ2LadEEAuDvv8t6amJjRQtSiuem8fEpCzvt2ol6aZydJXtszM0VUzshhBDSiMkcdkgdMQa8eCEKM6qqgJeXaLtAAAweXHYqSkxXV3TaqfxgYBUV0fMJIYQQ8k4UdurbP/9I9tbcvQvw+aJ9bm5lYUdLCxg6FNDUlOytsbeXbpVsQgghhFSJwk59GzdONAFfeaqqopW1u3aV3B4a2mBlEUIIIS0FhZ36NmSIaF6b8r017dsD5a5kI4QQQkj9obBT344cUXQFhBBCSItGg0EIIYQQ0qxR2CGEEEJIs6bQsHPt2jWMHj0alpaW4PF4OHPmjMR+xhjWr18PCwsLaGpqwsPDA0+ePJFo8/btW3h7e0NPTw8GBgaYM2cOcnNzG/BdEEIIIaQxU2jYycvLQ+fOnfHtt99WuX/37t04cOAA/P39ERUVBW1tbXh6eqKwsJBr4+3tjf/++w+hoaEIDg7GtWvXMH/+/IZ6C4QQQghp5HiMMaboIgCAx+Ph9OnTGDduHABRr46lpSWWL1+OFStWAAD4fD7MzMwQGBiIqVOn4uHDh+jQoQOio6PRo0cPAMClS5fw3nvv4eXLl7C0tJTqtbOzs6Gvrw8+nw89WjOKEEIIaRKk/f5utGN2EhISkJqaCg8PD26bvr4+evfujcjISABAZGQkDAwMuKADAB4eHlBSUkJUVFS1xy4qKkJ2drbEjRBCCCHNU6MNO6mpqQAAMzMzie1mZmbcvtTUVJiamkrsV1FRgZGREdemKjt27IC+vj53s7a2lnP1hBBCCGksGm3YqU9r1qwBn8/nbkkVZzgmhBBCSLPRaMOO+f+v4J2WliaxPS0tjdtnbm6O9PR0if0lJSV4+/Yt16Yq6urq0NPTk7gRQgghpHlqtGHH3t4e5ubmuHz5MrctOzsbUVFRcHNzAwC4ubkhKysLMTExXJsrV65AKBSid+/eDV4zIYQQQhofhS4XkZubi/j4eO5xQkICYmNjYWRkBBsbGyxZsgRbt25F27ZtYW9vj3Xr1sHS0pK7YsvZ2RkjRozAvHnz4O/vD4FAgEWLFmHq1KlSX4lFCCGEkOZNoWHn9u3bGDJkCPd42bJlAABfX18EBgbi008/RV5eHubPn4+srCz0798fly5dgoaGBvecoKAgLFq0CO7u7lBSUsLEiRNx4MCBBn8vhBBCCGmcGs08O4pE8+wQQgghTU+Tn2eHEEIIIUQeFHoaq7EQd27R5IKEEEJI0yH+3n7XSSoKOwBycnIAgCYXJIQQQpqgnJwc6OvrV7ufxuwAEAqFSE5Ohq6uLng8ntyOm52dDWtrayQlJdFYoHpEn3PDoc+6YdDn3DDoc24Y9fk5M8aQk5MDS0tLKClVPzKHenYAKCkpwcrKqt6OTxMXNgz6nBsOfdYNgz7nhkGfc8Oor8+5ph4dMRqgTAghhJBmjcIOIYQQQpo1Cjv1SF1dHRs2bIC6urqiS2nW6HNuOPRZNwz6nBsGfc4NozF8zjRAmRBCCCHNGvXsEEIIIaRZo7BDCCGEkGaNwg4hhBBCmjUKO4QQQghp1ijs1NGOHTvQs2dP6OrqwtTUFOPGjUNcXJxEm8LCQnz00UcwNjaGjo4OJk6ciLS0NAVV3Dzs3LkTPB4PS5Ys4bbR5yw/r169wowZM2BsbAxNTU24uLjg9u3b3H7GGNavXw8LCwtoamrCw8MDT548UWDFTU9paSnWrVsHe3t7aGpqwsHBAVu2bJFY44c+Z9ldu3YNo0ePhqWlJXg8Hs6cOSOxX5rP9O3bt/D29oaenh4MDAwwZ84c5ObmNuC7aPxq+pwFAgFWrVoFFxcXaGtrw9LSEjNnzkRycrLEMRryc6awU0dXr17FRx99hL///huhoaEQCAQYPnw48vLyuDZLly7FuXPncPLkSVy9ehXJycmYMGGCAqtu2qKjo/H999/D1dVVYjt9zvKRmZmJfv36QVVVFRcvXsSDBw+wd+9eGBoacm12796NAwcOwN/fH1FRUdDW1oanpycKCwsVWHnTsmvXLhw8eBDffPMNHj58iF27dmH37t34+uuvuTb0OcsuLy8PnTt3xrffflvlfmk+U29vb/z3338IDQ1FcHAwrl27hvnz5zfUW2gSavqc8/Pz8c8//2DdunX4559/cOrUKcTFxWHMmDES7Rr0c2ZErtLT0xkAdvXqVcYYY1lZWUxVVZWdPHmSa/Pw4UMGgEVGRiqqzCYrJyeHtW3bloWGhrJBgwaxTz75hDFGn7M8rVq1ivXv37/a/UKhkJmbm7M9e/Zw27Kyspi6ujr75ZdfGqLEZsHLy4vNnj1bYtuECROYt7c3Y4w+Z3kAwE6fPs09luYzffDgAQPAoqOjuTYXL15kPB6PvXr1qsFqb0oqfs5VuXXrFgPAXrx4wRhr+M+ZenbkjM/nAwCMjIwAADExMRAIBPDw8ODatG/fHjY2NoiMjFRIjU3ZRx99BC8vL4nPE6DPWZ7Onj2LHj16YNKkSTA1NUXXrl3xv//9j9ufkJCA1NRUic9aX18fvXv3ps9aBn379sXly5fx+PFjAMDdu3dx48YNjBw5EgB9zvVBms80MjISBgYG6NGjB9fGw8MDSkpKiIqKavCamws+nw8ejwcDAwMADf8500KgciQUCrFkyRL069cPnTp1AgCkpqZCTU2N+w8sZmZmhtTUVAVU2XQdP34c//zzD6Kjoyvto89Zfp49e4aDBw9i2bJl+Oyzz/B/7d17VMzpHwfw99RM00yZJOmiK7ooly2R8rMtZYVtCWmrJSwrIjnL4jhbWUt7lmgdx3X36KBdHNayuSaTS/a4tEVOTLFWlgghbek2n98fju/PaLohrfl9Xud0jp7n+T7P5/l8p5nH9/vMzLlz5xATEwMDAwNERkYK+bSwsNA4jnPdMgsWLEBZWRlcXV2hr6+Puro6LF26FBEREQDAeW4FzcnpnTt30KlTJ416sViMDh06cN5f0dOnTzF//nyEhYUJXwT6tvPMi503KDo6GpcuXcKpU6faOhSdc/PmTcyePRvp6ekwNDRs63B0mlqthpeXF5YtWwYA8PDwwKVLl7B+/XpERka2cXS6Y+fOnUhNTcVPP/0Ed3d35ObmIjY2FtbW1pxnpjNqamowbtw4EBHWrVvXZnHwbaw3ZObMmUhLS4NSqYSNjY1Qbmlpierqajx69Eij/d27d2FpafmWo3x3ZWdno6SkBJ6enhCLxRCLxTh+/DhWr14NsVgMCwsLzvMbYmVlBTc3N42y7t27o6ioCACEfL78TjfOdcvMmzcPCxYswCeffIKePXti/PjxmDNnDhITEwFwnltDc3JqaWmJkpISjfra2lqUlpZy3lvo+ULnxo0bSE9PF67qAG8/z7zYeU1EhJkzZ2LPnj04duwYHB0dNer79OkDiUSCjIwMoUylUqGoqAg+Pj5vO9x3lr+/P/Ly8pCbmyv8eHl5ISIiQvg35/nNGDBgQL2PTygoKIC9vT0AwNHREZaWlhq5Lisrw5kzZzjXLVBRUQE9Pc2nYH19fajVagCc59bQnJz6+Pjg0aNHyM7OFtocO3YMarUa3t7ebz3md9XzhU5hYSGOHj0KMzMzjfq3nuc3vuX5/8z06dPJxMSEMjMzqbi4WPipqKgQ2kRFRZGdnR0dO3aMzp8/Tz4+PuTj49OGUeuGF9+NRcR5flPOnj1LYrGYli5dSoWFhZSamkpyuZy2bdsmtPn222+pffv2tHfvXrp48SKNHDmSHB0dqbKysg0jf7dERkZS586dKS0tja5fv06//PILdezYkb788kuhDee55Z48eUI5OTmUk5NDAGjlypWUk5MjvAuoOTkNDAwkDw8POnPmDJ06dYqcnJwoLCysrab0r9RYnqurq+njjz8mGxsbys3N1XhtrKqqEvp4m3nmxc5rAqD1Z/PmzUKbyspKmjFjBpmampJcLqfg4GAqLi5uu6B1xMuLHc7zm/Pbb79Rjx49SCqVkqurK23cuFGjXq1W01dffUUWFhYklUrJ39+fVCpVG0X7biorK6PZs2eTnZ0dGRoaUpcuXWjRokUaLwac55ZTKpVan5MjIyOJqHk5ffDgAYWFhZGxsTEpFAqaNGkSPXnypA1m8+/VWJ6vX7/e4GujUqkU+nibeRYRvfBxnYwxxhhjOob37DDGGGNMp/FihzHGGGM6jRc7jDHGGNNpvNhhjDHGmE7jxQ5jjDHGdBovdhhjjDGm03ixwxhjjDGdxosdxhhjjOk0Xuww1gYyMzMhEonqfXHpyxwcHJCcnPxWYmpISkoK2rdv36YxtFRr5W3ixIkYNWrUGxv7XcttSkoKRCIRRCIRYmNjW328hIQEYby2/jtg7zZe7DDWgIkTJwpPtAYGBujWrRu+/vpr1NbWvnbfvr6+KC4uhomJCYCGX/TOnTuHzz///LXH+zd5F17g//rrL4hEIuTm5rb4WF08Zy9SKBQoLi7GkiVLWn2suXPnori4GDY2Nq0+FtNt4rYOgLF/s8DAQGzevBlVVVU4cOAAoqOjIZFIsHDhwtfq18DAAJaWlk22Mzc3f61x3mXV1dUwMDBo6zBaTNfPmUgkatZj900wNjaGsbEx9PX138p4THfxlR3GGiGVSmFpaQl7e3tMnz4dAQEB2LdvHwDg4cOHmDBhAkxNTSGXyzFs2DAUFhYKx964cQNBQUEwNTWFkZER3N3dceDAAQCat7EyMzMxadIkPH78WLiSlJCQAEDzlkh4eDhCQ0M14qupqUHHjh2xZcsWAIBarUZiYiIcHR0hk8nQu3dv7Nq1q9E5VlVVYe7cuejcuTOMjIzg7e2NzMzMRo/Zu3cvPD09YWhoiC5dumDx4sUaV7wePXqEadOmwcLCAoaGhujRowfS0tKanOuSJUswYcIEKBQK4erI7t274e7uDqlUCgcHByQlJWnEUlJSgqCgIMhkMjg6OiI1NbVevI8ePcKUKVNgbm4OhUKBwYMH48KFCw3Oz9HREQDg4eEBkUiEDz74QKN+xYoVsLKygpmZGaKjo1FTUyPUvXwbq6FcaHPv3j14eXkhODgYVVVVwuMkIyMDXl5ekMvl8PX1hUqlavb5ICIkJCTAzs4OUqkU1tbWiImJEY5du3YtnJycYGhoCAsLC4wdO7bBvDREJBLh119/1Shr3749UlJSAPzvStnOnTsxcOBAyGQy9O3bFwUFBTh37hy8vLxgbGyMYcOG4d69ey0en7Gm8JUdxlpAJpPhwYMHAJ7d5iosLMS+ffugUCgwf/58DB8+HPn5+ZBIJIiOjkZ1dTVOnDgBIyMj5Ofnw9jYuF6fvr6+SE5ORlxcnPAipq1dREQEQkJCUF5eLtQfPnwYFRUVCA4OBgAkJiZi27ZtWL9+PZycnHDixAl8+umnMDc3h5+fn9Y5zZw5E/n5+di+fTusra2xZ88eBAYGIi8vD05OTvXanzx5EhMmTMDq1asxcOBAXLt2TViYxMfHQ61WY9iwYXjy5Am2bduGrl27Ij8/H/r6+k3OdcWKFYiLi0N8fDwAIDs7G+PGjUNCQgJCQ0Nx+vRpzJgxA2ZmZpg4caJwHm7fvg2lUgmJRIKYmBiUlJRoxBwSEgKZTIaDBw/CxMQEGzZsgL+/PwoKCtChQ4d6czx79iz69euHo0ePwt3dXeMKk1KphJWVFZRKJa5evYrQ0FC89957mDp1ar1+GsvFy27evIkhQ4agf//++PHHHzXaLFq0CElJSTA3N0dUVBQmT56MrKysZp2P3bt3Y9WqVdi+fTvc3d1x584dYaF3/vx5xMTEYOvWrfD19UVpaSlOnjxZL7Y3JT4+HsnJybCzs8PkyZMRHh6Odu3a4fvvv4dcLse4ceMQFxeHdevWtVoM7P9Uq3yXOmM6IDIykkaOHElERGq1mtLT00kqldLcuXOpoKCAAFBWVpbQ/v79+ySTyWjnzp1ERNSzZ09KSEjQ2rdSqSQA9PDhQyIi2rx5M5mYmNRrZ29vT6tWrSIiopqaGurYsSNt2bJFqA8LC6PQ0FAiInr69CnJ5XI6ffq0Rh+fffYZhYWFaY3jxo0bpK+vT7du3dIo9/f3p4ULF2qNzd/fn5YtW6bRfuvWrWRlZUVERIcPHyY9PT1SqVRax2xsrqNGjdIoCw8PpyFDhmiUzZs3j9zc3IiISKVSEQA6e/asUH/58mUCIOTt5MmTpFAo6OnTpxr9dO3alTZs2KA1xuvXrxMAysnJ0SiPjIwke3t7qq2tFcpCQkKEc/B8Hs/Hbm4urly5Qra2thQTE0NqtVqof/44OXr0qFC2f/9+AkCVlZVE1PT5SEpKImdnZ6qurq43/u7du0mhUFBZWZnW+BqK92UAaM+ePRplJiYmtHnzZiL6Xz5/+OEHof7nn38mAJSRkSGUJSYmkouLS73+X8wpY6+Cr+ww1oi0tDQYGxujpqYGarUa4eHhSEhIQEZGBsRiMby9vYW2ZmZmcHFxweXLlwEAMTExmD59Oo4cOYKAgACMGTMGvXr1euVYxGIxxo0bh9TUVIwfPx7//PMP9u7di+3btwMArl69ioqKCgwZMkTjuOrqanh4eGjtMy8vD3V1dXB2dtYor6qqgpmZmdZjLly4gKysLCxdulQoq6urw9OnT1FRUYHc3FzY2NjU67M5vLy8NH6/fPkyRo4cqVE2YMAAJCcno66uDpcvX4ZYLEafPn2EeldXV40N0BcuXEB5eXm9+VRWVuLatWstjtHd3V3jqouVlRXy8vK0tm1OLiorKzFw4ECEh4c3+I6jFx83VlZWAJ7dvrOzs2vyfISEhCA5ORldunRBYGAghg8fjqCgIIjFYgwZMgT29vZCXWBgIIKDgyGXy1uSkmZ7cR4WFhYAgJ49e2qUvXxVjrE3gRc7jDVi0KBBWLduHQwMDGBtbQ2xuPl/MlOmTMHQoUOxf/9+HDlyBImJiUhKSsKsWbNeOZ6IiAj4+fmhpKQE6enpkMlkCAwMBACUl5cDAPbv34/OnTtrHCeVSrX2V15eDn19fWRnZ9e7taLtVtrzYxYvXozRo0fXqzM0NIRMJmvxvJ4zMjJ65WMbUl5eDisrK637kF7lXWESiUTjd5FIBLVarbVtc3IhlUoREBCAtLQ0zJs3r965e3lMkUgEAMKYTZ0PW1tbqFQqHD16FOnp6ZgxYwaWL1+O48ePo127dvjjjz+QmZmJI0eOIC4uDgkJCTh37lyLciMSiUBEGmUv7mNqbB4vlzWUS8ZeBy92GGuEkZERunXrVq+8e/fuqK2txZkzZ+Dr6wsAePDgAVQqFdzc3IR2tra2iIqKQlRUFBYuXIhNmzZpXewYGBigrq6uyXh8fX1ha2uLHTt24ODBgwgJCRFeLNzc3CCVSlFUVNTg/pyXeXh4oK6uDiUlJRg4cGCzjvH09IRKpdKaF+DZ/97//vtvFBQUaL2i0dy5As/y/HxvynNZWVlwdnaGvr4+XF1dUVtbi+zsbPTt2xcAoFKpND6/yNPTE3fu3IFYLIaDg0Ozxn2+R6e5cTakqVwAgJ6eHrZu3Yrw8HAMGjQImZmZsLa2bvYYTZ0P4NmiKygoCEFBQYiOjoarqyvy8vLg6ekJsViMgIAABAQEID4+Hu3bt8exY8e0Lp4aYm5ujuLiYuH3wsJCVFRUNPt4xlobL3YYewVOTk4YOXIkpk6dig0bNqBdu3ZYsGABOnfuLNx2iY2NxbBhw+Ds7IyHDx9CqVSie/fuWvtzcHBAeXk5MjIy0Lt3b8jl8gZvJYSHh2P9+vUoKCiAUqkUytu1a4e5c+dizpw5UKvV+M9//oPHjx8jKysLCoUCkZGR9fpydnZGREQEJkyYgKSkJHh4eODevXvIyMhAr169MGLEiHrHxMXF4aOPPoKdnR3Gjh0LPT09XLhwAZcuXcI333wDPz8/vP/++xgzZgxWrlyJbt264cqVKxCJRAgMDGzRXL/44gv07dsXS5YsQWhoKH7//XesWbMGa9euBQC4uLggMDAQ06ZNw7p16yAWixEbG6txRSUgIAA+Pj4YNWoUvvvuOzg7O+P27dvYv38/goOD6906A4BOnTpBJpPh0KFDsLGxgaGhofCZSC3RVC6e09fXR2pqKsLCwjB48GBkZmY2++3dTZ2PlJQU1NXVwdvbG3K5HNu2bYNMJoO9vT3S0tLw559/4v3334epqSkOHDgAtVoNFxeXFs1z8ODBWLNmDXx8fFBXV4f58+fXuwLGWJtq601DjP1bvbhBWZvS0lIaP348mZiYkEwmo6FDh1JBQYFQP3PmTOratStJpVIyNzen8ePH0/3794mo/gZlIqKoqCgyMzMjABQfH09E2jdm5ufnEwCyt7fX2MxK9GwjdXJyMrm4uJBEIiFzc3MaOnQoHT9+vMF5VFdXU1xcHDk4OJBEIiErKysKDg6mixcvEpH2TamHDh0iX19fkslkpFAoqF+/frRx40ah/sGDBzRp0iQyMzMjQ0ND6tGjB6WlpbV4rkREu3btIjc3N5JIJGRnZ0fLly/XqC8uLqYRI0aQVColOzs72rJlS72+ysrKaNasWWRtbU0SiYRsbW0pIiKCioqKGszLpk2byNbWlvT09MjPz4+ItD8mZs+eLdRrm0djuXg5tzU1NTR69Gjq3r073b17V+vjJCcnhwDQ9evXhbLGzseePXvI29ubFAoFGRkZUf/+/YUNzydPniQ/Pz8yNTUlmUxGvXr1oh07djSYk4Y2KN+6dYs+/PBDMjIyIicnJzpw4IDWDcovbvjWNrfmbNRn7FWIiF660coYY4xpkZKSgtjY2Ca/5uRNc3BwQGxs7Fv5igqmm/hDBRljjDXb48ePYWxsjPnz57f6WMuWLYOxsTGKiopafSym2/jKDmOMsWZ58uQJ7t69C+DZO9k6duzYquOVlpaitLQUwLNN0K+yb4oxgBc7jDHGGNNxfBuLMcYYYzqNFzuMMcYY02m82GGMMcaYTuPFDmOMMcZ0Gi92GGOMMabTeLHDGGOMMZ3Gix3GGGOM6TRe7DDGGGNMp/0XqYZPy6VOuGkAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "NMC stack energy densities dict:\n", - "{'Negative electrode stoichiometry at 0% SoC': 0.02717931323985113, 'Negative electrode stoichiometry at 100% SoC': 0.9101824973001095, 'Positive electrode stoichiometry at 100% SoC': 0.2638491629963629, 'Positive electrode stoichiometry at 0% SoC': 0.8819513918385438, 'Negative electrode volumetric capacity [mA.h.cm-3]': 482.7809195664761, 'Negative electrode gravimetric capacity [mA.h.g-1]': 255.48173352174715, 'Negative electrode active material practical capacity [mA.h.g-1]': 346.03531624966314, 'Negative electrode capacity [mA.h.cm-2]': 5.793371034797714, 'Positive electrode volumetric capacity [mA.h.cm-3]': 614.9898466480992, 'Positive electrode gravimetric capacity [mA.h.g-1]': 182.89424724498664, 'Positive electrode active material practical capacity [mA.h.g-1]': 220.08015809175242, 'Positive electrode capacity [mA.h.cm-2]': 5.793371034797714, 'Capacity [mA.h.cm-2]': 5.793371034797714, 'Negative electrode average OCP [V]': 0.1926525386626696, 'Positive electrode average OCP [V]': 3.8935150582754976, 'Stack average OCP [V]': 3.700862519612828, 'Stack thickness [m]': 0.0002532027102784465, 'Volumetric stack capacity [Ah.L-1]': 228.80367387958665, 'Volumetric stack energy density [Wh.L-1]': 846.7709410106789, 'Stack density [kg.m-3]': 2552.2864051540664, 'Negative current collector density [kg.m-3]': 8960, 'Negative electrode density [kg.m-3]': 1889.6886008697006, 'Separator density [kg.m-3]': 1094.5, 'Positive electrode density [kg.m-3]': 3362.543414634146, 'Positive current collector density [kg.m-3]': 2700, 'Gravimetric stack capacity [Ah.kg-1]': 89.64655119329177, 'Gravimetric stack energy density [Wh.kg-1]': 331.7695613238062}\n", - "LFP stack energy densities dict:\n", - "{'Negative electrode stoichiometry at 0% SoC': 0.017561732754747386, 'Negative electrode stoichiometry at 100% SoC': 0.872387033168583, 'Positive electrode stoichiometry at 100% SoC': 1.711031833586526e-06, 'Positive electrode stoichiometry at 0% SoC': 0.5983794213215184, 'Negative electrode volumetric capacity [mA.h.cm-3]': 467.37469587008593, 'Negative electrode gravimetric capacity [mA.h.g-1]': 247.32894914801506, 'Negative electrode active material practical capacity [mA.h.g-1]': 334.99283865178995, 'Negative electrode capacity [mA.h.cm-2]': 5.6084963504410315, 'Positive electrode volumetric capacity [mA.h.cm-3]': 221.7128869047313, 'Positive electrode gravimetric capacity [mA.h.g-1]': 81.56538244173817, 'Positive electrode active material practical capacity [mA.h.g-1]': 101.59663579033251, 'Positive electrode capacity [mA.h.cm-2]': 5.608496350441031, 'Capacity [mA.h.cm-2]': 5.608496350441031, 'Negative electrode average OCP [V]': 0.21161343165001728, 'Positive electrode average OCP [V]': 3.4135389138723586, 'Stack average OCP [V]': 3.2019254822223413, 'Stack thickness [m]': 0.00041196212722406915, 'Volumetric stack capacity [Ah.L-1]': 136.1410668556561, 'Volumetric stack energy density [Wh.L-1]': 435.91355114206067, 'Stack density [kg.m-3]': 2468.8982338493083, 'Negative current collector density [kg.m-3]': 8960, 'Negative electrode density [kg.m-3]': 1889.6886008697006, 'Separator density [kg.m-3]': 1094.5, 'Positive electrode density [kg.m-3]': 2718.222857142857, 'Positive current collector density [kg.m-3]': 2700, 'Gravimetric stack capacity [Ah.kg-1]': 55.142437622224655, 'Gravimetric stack energy density [Wh.kg-1]': 176.56197617445704}\n" - ] - } - ], - "source": [ - "# generate an array of thicknesses from 10e-6 to 100e-6\n", - "thicknesses = np.linspace(20e-6, 120e-6, 11)\n", - "# initialize lists for the stack energy densities\n", - "stack_volumetric_energy_densities_nmc = []\n", - "stack_volumetric_energy_densities_lfp = []\n", - "stack_gravimetric_energy_densities_nmc = []\n", - "stack_gravimetric_energy_densities_lfp = []\n", - "\n", - "c_nmc.update({\"Positive electrode thickness [m]\": None}) # otherwise the default thicknesses are is used and the NPR ratio is overwritten\n", - "c_lfp.update({\"Positive electrode thickness [m]\": None})\n", - "\n", - "# loop over the thicknesses and calculate the stack energy densities for the nmc and lfp input-sets\n", - "for thickness in thicknesses:\n", - " # update the positive electrode thickness in the input-sets\n", - " c_lfp.update({\"Negative electrode thickness [m]\": thickness})\n", - " c_nmc.update({\"Negative electrode thickness [m]\": thickness})\n", - " \n", - " # create TEA classes with the updated input-sets\n", - " tea_lfp = tea.TEA(param_c_lfp, c_lfp)\n", - " tea_nmc = tea.TEA(param_chen, c_nmc)\n", - "\n", - " # save the calculated the stack energy densities in the lists\n", - " stack_volumetric_energy_densities_nmc.append(tea_nmc.stack_energy_densities.get(\"Volumetric stack energy density [Wh.L-1]\"))\n", - " stack_volumetric_energy_densities_lfp.append(tea_lfp.stack_energy_densities.get(\"Volumetric stack energy density [Wh.L-1]\"))\n", - " stack_gravimetric_energy_densities_nmc.append(tea_nmc.stack_energy_densities.get(\"Gravimetric stack energy density [Wh.kg-1]\"))\n", - " stack_gravimetric_energy_densities_lfp.append(tea_lfp.stack_energy_densities.get(\"Gravimetric stack energy density [Wh.kg-1]\"))\n", - " \n", - "# plot stack energy density vs thickness\n", - "plt.figure()\n", - "plt.plot(thicknesses*1e6, stack_volumetric_energy_densities_lfp, label=\"LFP - volumetric\", color='red')\n", - "plt.plot(thicknesses*1e6, stack_gravimetric_energy_densities_lfp, label=\"LFP - gravimetric\", color='red', linestyle='dashed')\n", - "plt.plot(thicknesses*1e6, stack_volumetric_energy_densities_nmc, label=\"NMC - volumetric\", color='black')\n", - "plt.plot(thicknesses*1e6, stack_gravimetric_energy_densities_nmc, label=\"NMC - gravimetric\", color='black', linestyle='dashed')\n", - "plt.xlabel(\"Positive electrode thickness [um]\")\n", - "plt.ylabel(\"Stack energy densities [Wh.L-1] and [Wh.kg-1]\")\n", - "plt.legend()\n", - "plt.show()\n", - "\n", - "# print stack energy densities data for last loop\n", - "print(\"NMC stack energy densities dict:\")\n", - "print(tea_nmc.stack_energy_densities)\n", - "print(\"LFP stack energy densities dict:\")\n", - "print(tea_lfp.stack_energy_densities)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "base", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/stackbreakdown.ipynb b/examples/stackbreakdown.ipynb index f4a8418..0b64ebc 100644 --- a/examples/stackbreakdown.ipynb +++ b/examples/stackbreakdown.ipynb @@ -1017,7 +1017,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.9.12" }, "orig_nbformat": 4, "vscode": { diff --git a/pybamm_tea/tea.py b/pybamm_tea/tea.py index 15fc997..cc06ca8 100644 --- a/pybamm_tea/tea.py +++ b/pybamm_tea/tea.py @@ -333,209 +333,155 @@ def print_stack_breakdown(self): def print_stack_energy_densities(self): """A dataframe with capacities, energy densities, stoichiometry- and potential windows, n/p ratios, (single-)stack thickness and stack density.""" stack_ed = self.stack_energy_densities - data = [ - { - "Parameter": "Volumetric energy density", - "Unit": "Wh.L-1", - "Value": stack_ed.get("Volumetric stack energy density [Wh.L-1]"), - }, - { - "Parameter": "Gravimetric energy density", - "Unit": "Wh.kg-1", - "Value": stack_ed.get("Gravimetric stack energy density [Wh.kg-1]"), - }, - { - "Parameter": "Stack average OCP", - "Unit": "V", - "Value": stack_ed.get("Stack average OCP [V]"), - }, - { - "Parameter": "Capacity", - "Unit": "mA.h.cm-2", - "Value": stack_ed.get("Capacity [mA.h.cm-2]"), - }, - { - "Parameter": "(Single-) stack thickness", - "Unit": "um", - "Value": 10**6 * stack_ed.get("Stack thickness [m]"), - }, - { - "Parameter": "Stack density", - "Unit": "kg.L-1", - "Value": 10**-3 * stack_ed.get("Stack density [kg.m-3]"), - }, - ] - # Create the DataFrame from the list of dictionaries + + data = { + "Parameter": [ + "Volumetric energy density", + "Gravimetric energy density", + "Stack average OCP", + "Capacity", + "(Single-) stack thickness", + "Stack density", + ], + "Unit": [ + "Wh.L-1", + "Wh.kg-1", + "V", + "mA.h.cm-2", + "um", + "kg.L-1", + ], + "Value": [ + stack_ed.get("Volumetric stack energy density [Wh.L-1]"), + stack_ed.get("Gravimetric stack energy density [Wh.kg-1]"), + stack_ed.get("Stack average OCP [V]"), + stack_ed.get("Capacity [mA.h.cm-2]"), + 10**6 * stack_ed.get("Stack thickness [m]"), + 10**-3 * stack_ed.get("Stack density [kg.m-3]"), + ], + } + # Create the DataFrame from the dictionary df = pd.DataFrame(data) return df def print_capacities_and_potentials(self): """A dataframe with capacities, energy densities, stoichiometry- and potential windows, n/p ratios, (single-)stack thickness and stack density.""" stack_ed = self.stack_energy_densities - data = [ - # stack potentials - {"Parameter": "Stack potentials", "Unit": "", "Value": ""}, - { - "Parameter": "Stack average OCP", - "Unit": "V", - "Value": stack_ed.get("Stack average OCP [V]"), - }, - { - "Parameter": "Maximal OCP", - "Unit": "V", - "Value": stack_ed.get("Maximal OCP [V]"), - }, - { - "Parameter": "Minimal OCP", - "Unit": "V", - "Value": stack_ed.get("Minimal OCP [V]"), - }, - # electrode potentials - {"Parameter": "Electrode potentials", "Unit": "", "Value": ""}, - { - "Parameter": "Negative electrode average OCP", - "Unit": "V", - "Value": stack_ed.get("Negative electrode average OCP [V]"), - }, - { - "Parameter": "Positive electrode average OCP", - "Unit": "V", - "Value": stack_ed.get("Positive electrode average OCP [V]"), - }, - # n/p ratio - {"Parameter": "n/p ratio's", "Unit": "", "Value": ""}, - { - "Parameter": "Practical n/p ratio", - "Unit": "-", - "Value": stack_ed.get("Practical n/p ratio"), - }, - { - "Parameter": "Theoretical n/p ratio", - "Unit": "-", - "Value": self.parameter_values.get("Theoretical n/p ratio"), - }, - # stack capacities - {"Parameter": "Stack capacities", "Unit": "", "Value": ""}, - { - "Parameter": "Volumetric stack capacity", - "Unit": "Ah.L-1", - "Value": stack_ed.get("Volumetric stack capacity [Ah.L-1]"), - }, - { - "Parameter": "Gravimetric stack capacity", - "Unit": "Ah.kg-1", - "Value": stack_ed.get("Gravimetric stack capacity [Ah.kg-1]"), - }, - { - "Parameter": "Capacity", - "Unit": "mA.h.cm-2", - "Value": stack_ed.get("Capacity [mA.h.cm-2]"), - }, - # electrode capacities - {"Parameter": "Electrode capacities", "Unit": "", "Value": ""}, - { - "Parameter": "Negative electrode theoretical capacity", - "Unit": "mA.h.cm-2", - "Value": stack_ed.get( - "Negative electrode theoretical capacity [mA.h.cm-2]" - ), - }, - { - "Parameter": "Positive electrode theoretical capacity", - "Unit": "mA.h.cm-2", - "Value": stack_ed.get( - "Positive electrode theoretical capacity [mA.h.cm-2]" - ), - }, - { - "Parameter": "Negative electrode volumetric capacity", - "Unit": "mA.h.cm-3", - "Value": stack_ed.get( - "Negative electrode volumetric capacity [mA.h.cm-3]" - ), - }, - { - "Parameter": "Positive electrode volumetric capacity", - "Unit": "mA.h.cm-3", - "Value": stack_ed.get( - "Positive electrode volumetric capacity [mA.h.cm-3]" - ), - }, - { - "Parameter": "Negative electrode gravimetric capacity", - "Unit": "mA.h.g-1", - "Value": stack_ed.get( - "Negative electrode gravimetric capacity [mA.h.g-1]" - ), - }, - { - "Parameter": "Positive electrode gravimetric capacity", - "Unit": "mA.h.g-1", - "Value": stack_ed.get( - "Positive electrode gravimetric capacity [mA.h.g-1]" - ), - }, - # active material capacities - {"Parameter": "Active material capacities", "Unit": "", "Value": ""}, - { - "Parameter": "Negative electrode active material practical capacity", - "Unit": "mA.h.g-1", - "Value": stack_ed.get( - "Negative electrode active material practical capacity [mA.h.g-1]" - ), - }, - { - "Parameter": "Positive electrode active material practical capacity", - "Unit": "mA.h.g-1", - "Value": stack_ed.get( - "Positive electrode active material practical capacity [mA.h.g-1]" - ), - }, - { - "Parameter": "Negative electrode active material theoretical capacity", - "Unit": "mA.h.g-1", - "Value": self.parameter_values.get( - "Negative electrode active material capacity [mA.h.g-1]" - ), - }, - { - "Parameter": "Positive electrode active material theoretical capacity", - "Unit": "mA.h.g-1", - "Value": self.parameter_values.get( - "Positive electrode active material capacity [mA.h.g-1]" - ), - }, - # stoichiometries - {"Parameter": "Stoichiometries", "Unit": "", "Value": ""}, - { - "Parameter": "Negative electrode stoichiometry at 0% SoC", - "Unit": "-", - "Value": stack_ed.get("Negative electrode stoichiometry at 0% SoC"), - }, - { - "Parameter": "Negative electrode stoichiometry at 100% SoC", - "Unit": "-", - "Value": stack_ed.get("Negative electrode stoichiometry at 100% SoC"), - }, - { - "Parameter": "Positive electrode stoichiometry at 100% SoC", - "Unit": "-", - "Value": stack_ed.get("Positive electrode stoichiometry at 100% SoC"), - }, - { - "Parameter": "Positive electrode stoichiometry at 0% SoC", - "Unit": "-", - "Value": stack_ed.get("Positive electrode stoichiometry at 0% SoC"), - }, - ] - # Create the DataFrame from the list of dictionaries + + data = { + "Parameter": [ + "", + "Stack average OCP", + "Maximal OCP", + "Minimal OCP", + "", + "Negative electrode average OCP", + "Positive electrode average OCP", + "", + "n/p ratio's", + "Practical n/p ratio", + "Theoretical n/p ratio", + "", + "Stack capacities", + "Volumetric stack capacity", + "Gravimetric stack capacity", + "Capacity", + "", + "Electrode capacities", + "Negative electrode theoretical capacity", + "Positive electrode theoretical capacity", + "Negative electrode volumetric capacity", + "Positive electrode volumetric capacity", + "Negative electrode gravimetric capacity", + "Positive electrode gravimetric capacity", + "", + "Active material capacities", + "Negative electrode active material practical capacity", + "Positive electrode active material practical capacity", + "Negative electrode active material theoretical capacity", + "Positive electrode active material theoretical capacity", + "", + "Stoichiometries", + "Negative electrode stoichiometry at 0% SoC", + "Negative electrode stoichiometry at 100% SoC", + "Positive electrode stoichiometry at 100% SoC", + "Positive electrode stoichiometry at 0% SoC", + ], + "Unit": [ + "", + "V", + "V", + "V", + "", + "V", + "V", + "", + "-", + "-", + "", + "A.h.L-1", + "A.h.kg-1", + "mA.h.cm-2", + "", + "mA.h.cm-2", + "mA.h.cm-2", + "A.h.L-1", + "A.h.L-1", + "A.h.kg-1", + "A.h.kg-1", + "", + "A.h.kg-1", + "A.h.kg-1", + "A.h.kg-1", + "A.h.kg-1", + "", + "-", + "-", + "-", + "-", + ], + "Value": [ + "", + stack_ed.get("Stack average OCP [V]"), + stack_ed.get("Maximal OCP [V]"), + stack_ed.get("Minimal OCP [V]"), + "", + stack_ed.get("Negative electrode average OCP [V]"), + stack_ed.get("Positive electrode average OCP [V]"), + "", + stack_ed.get("Practical n/p ratio"), + self.parameter_values.get("Theoretical n/p ratio"), + "", + stack_ed.get("Volumetric stack capacity [Ah.L-1]"), + stack_ed.get("Gravimetric stack capacity [Ah.kg-1]"), + stack_ed.get("Capacity [mA.h.cm-2]"), + "", + stack_ed.get("Negative electrode theoretical capacity [mA.h.cm-2]"), + stack_ed.get("Positive electrode theoretical capacity [mA.h.cm-2]"), + stack_ed.get("Negative electrode volumetric capacity [mA.h.cm-3]"), + stack_ed.get("Positive electrode volumetric capacity [mA.h.cm-3]"), + stack_ed.get("Negative electrode gravimetric capacity [mA.h.g-1]"), + stack_ed.get("Positive electrode gravimetric capacity [mA.h.g-1]"), + "", + stack_ed.get("Negative electrode active material practical capacity [mA.h.g-1]"), + stack_ed.get("Positive electrode active material practical capacity [mA.h.g-1]"), + self.parameter_values.get("Negative electrode active material capacity [mA.h.g-1]"), + self.parameter_values.get("Positive electrode active material capacity [mA.h.g-1]"), + "", + stack_ed.get("Negative electrode stoichiometry at 0% SoC"), + stack_ed.get("Negative electrode stoichiometry at 100% SoC"), + stack_ed.get("Positive electrode stoichiometry at 100% SoC"), + stack_ed.get("Positive electrode stoichiometry at 0% SoC"), + ], + } + # Create the DataFrame from the dictionary df = pd.DataFrame(data) return df - + + def calculate_stack_energy_densities(self): """Calculate ideal volumetric and gravimetric energy densities on stack level.""" stack_ed = {} # stack energy densities dict - pava = None pava = self.parameter_values # parameter values # stoichiometries - calculation based on input stoichiometries or cell potential limits diff --git a/docs/pybamm_tea_logo.PNG b/pybamm_tea_logo.PNG similarity index 100% rename from docs/pybamm_tea_logo.PNG rename to pybamm_tea_logo.PNG From 2587c42e89966848645d5df4d469bd34cc737a99 Mon Sep 17 00:00:00 2001 From: julian-evers <133691040+julian-evers@users.noreply.github.com> Date: Mon, 16 Oct 2023 19:45:42 +0200 Subject: [PATCH 3/5] dataframe_ loop --- examples/stackbreakdown.ipynb | 164 +++++++++++++++------------- pybamm_tea/tea.py | 199 +++++++++++++--------------------- 2 files changed, 160 insertions(+), 203 deletions(-) diff --git a/examples/stackbreakdown.ipynb b/examples/stackbreakdown.ipynb index 0b64ebc..fb921bd 100644 --- a/examples/stackbreakdown.ipynb +++ b/examples/stackbreakdown.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -45,15 +45,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/robertwtimms/Documents/pybamm-tea/pybamm_tea/tea.py:864: UserWarning: Warning: Negative electrode inactive material volume fraction is 0, Negative electrode inactive material density is set to 0\n", + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:757: UserWarning: Warning: Negative electrode inactive material volume fraction is 0, Negative electrode inactive material density is set to 0\n", " warnings.warn(\n", - "/Users/robertwtimms/Documents/pybamm-tea/pybamm_tea/tea.py:864: UserWarning: Warning: Positive electrode inactive material volume fraction is 0, Positive electrode inactive material density is set to 0\n", - " warnings.warn(\n" + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:757: UserWarning: Warning: Positive electrode inactive material volume fraction is 0, Positive electrode inactive material density is set to 0\n", + " warnings.warn(\n", + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:951: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " plt.tight_layout()\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -244,7 +246,7 @@ "Positive current collector 2.700000 " ] }, - "execution_count": 1, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -291,12 +293,20 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:951: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " plt.tight_layout()\n" + ] + }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -487,7 +497,7 @@ "Positive current collector 2.700000 " ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -535,20 +545,20 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/robertwtimms/Documents/pybamm-tea/pybamm_tea/tea.py:276: UserWarning: Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\n", + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:276: UserWarning: Warning: 'Negative electrode thickness [m]' has been calculated from 'Theoretical n/p ratio' and 'Positive electrode thickness [m]'\n", " warnings.warn(\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -633,7 +643,7 @@ "5 Stack density kg.L-1 2.703300" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -660,15 +670,15 @@ " tea_class = tea.TEA(base, input)\n", "\n", " # save the calculated stack energy densities in the lists\n", - " stack_volumetric_energy_densities.append(tea_class.stack_energy_densities.get(\"Volumetric stack energy density [Wh.L-1]\"))\n", - " stack_gravimetric_energy_densities.append(tea_class.stack_energy_densities.get(\"Gravimetric stack energy density [Wh.kg-1]\"))\n", + " stack_volumetric_energy_densities.append(tea_class.stack_energy_densities.get(\"Volumetric stack energy density [W.h.L-1]\"))\n", + " stack_gravimetric_energy_densities.append(tea_class.stack_energy_densities.get(\"Gravimetric stack energy density [W.h.kg-1]\"))\n", " \n", "# plot stack energy density vs thickness\n", "plt.figure()\n", "plt.plot(thicknesses*1e6, stack_volumetric_energy_densities, label=\"volumetric\")\n", "plt.plot(thicknesses*1e6, stack_gravimetric_energy_densities, label=\"gravimetric\", linestyle='dashed')\n", "plt.xlabel(\"Negative electrode thickness [um]\")\n", - "plt.ylabel(\"Stack energy densities [Wh.L-1] and [Wh.kg-1]\")\n", + "plt.ylabel(\"Stack energy densities [W.h.L-1] and [W.h.kg-1]\")\n", "plt.legend()\n", "plt.show()\n", "\n", @@ -685,12 +695,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -727,7 +737,7 @@ " \n", " \n", " 0\n", - " Stack potentials\n", + " Stack potentials:\n", " \n", " \n", " \n", @@ -739,19 +749,19 @@ " \n", " \n", " 2\n", - " Maximal OCP\n", + " Minimal OCP\n", " V\n", - " 4.199987\n", + " 2.500043\n", " \n", " \n", " 3\n", - " Minimal OCP\n", + " Maximal OCP\n", " V\n", - " 2.500043\n", + " 4.199987\n", " \n", " \n", " 4\n", - " Electrode potentials\n", + " Electrode potentials:\n", " \n", " \n", " \n", @@ -769,38 +779,38 @@ " \n", " \n", " 7\n", - " n/p ratio's\n", + " n/p ratio's:\n", " \n", " \n", " \n", " \n", " 8\n", " Practical n/p ratio\n", - " -\n", + " \n", " 1.101073\n", " \n", " \n", " 9\n", " Theoretical n/p ratio\n", - " -\n", + " \n", " 0.666667\n", " \n", " \n", " 10\n", - " Stack capacities\n", + " Stack capacities:\n", " \n", " \n", " \n", " \n", " 11\n", " Volumetric stack capacity\n", - " Ah.L-1\n", + " A.h.L-1\n", " 252.162072\n", " \n", " \n", " 12\n", " Gravimetric stack capacity\n", - " Ah.kg-1\n", + " A.h.kg-1\n", " 93.27935\n", " \n", " \n", @@ -811,7 +821,7 @@ " \n", " \n", " 14\n", - " Electrode capacities\n", + " Electrode capacities:\n", " \n", " \n", " \n", @@ -830,85 +840,85 @@ " \n", " 17\n", " Negative electrode volumetric capacity\n", - " mA.h.cm-3\n", + " A.h.L-1\n", " 541.215122\n", " \n", " \n", " 18\n", " Positive electrode volumetric capacity\n", - " mA.h.cm-3\n", + " A.h.L-1\n", " 582.182107\n", " \n", " \n", " 19\n", " Negative electrode gravimetric capacity\n", - " mA.h.g-1\n", + " A.h.kg-1\n", " 275.713099\n", " \n", " \n", " 20\n", " Positive electrode gravimetric capacity\n", - " mA.h.g-1\n", + " A.h.kg-1\n", " 173.942917\n", " \n", " \n", " 21\n", - " Active material capacities\n", + " Active material capacities:\n", " \n", " \n", " \n", " \n", " 22\n", " Negative electrode active material practical c...\n", - " mA.h.g-1\n", + " A.h.kg-1\n", " 346.540334\n", " \n", " \n", " 23\n", " Positive electrode active material practical c...\n", - " mA.h.g-1\n", + " A.h.kg-1\n", " 209.906049\n", " \n", " \n", " 24\n", - " Negative electrode active material theoretical...\n", - " mA.h.g-1\n", + " Negative electrode active material capacity\n", + " A.h.kg-1\n", " 391.884562\n", " \n", " \n", " 25\n", - " Positive electrode active material theoretical...\n", - " mA.h.g-1\n", + " Positive electrode active material capacity\n", + " A.h.kg-1\n", " 356.057862\n", " \n", " \n", " 26\n", - " Stoichiometries\n", + " Stoichiometries:\n", " \n", " \n", " \n", " \n", " 27\n", " Negative electrode stoichiometry at 0% SoC\n", - " -\n", + " \n", " 0.02633\n", " \n", " \n", " 28\n", " Negative electrode stoichiometry at 100% SoC\n", - " -\n", + " \n", " 0.910622\n", " \n", " \n", " 29\n", " Positive electrode stoichiometry at 100% SoC\n", - " -\n", + " \n", " 0.263849\n", " \n", " \n", " 30\n", " Positive electrode stoichiometry at 0% SoC\n", - " -\n", + " \n", " 0.853377\n", " \n", " \n", @@ -917,40 +927,40 @@ ], "text/plain": [ " Parameter Unit Value\n", - "0 Stack potentials \n", + "0 Stack potentials: \n", "1 Stack average OCP V 3.714185\n", - "2 Maximal OCP V 4.199987\n", - "3 Minimal OCP V 2.500043\n", - "4 Electrode potentials \n", + "2 Minimal OCP V 2.500043\n", + "3 Maximal OCP V 4.199987\n", + "4 Electrode potentials: \n", "5 Negative electrode average OCP V 0.193724\n", "6 Positive electrode average OCP V 3.907909\n", - "7 n/p ratio's \n", - "8 Practical n/p ratio - 1.101073\n", - "9 Theoretical n/p ratio - 0.666667\n", - "10 Stack capacities \n", - "11 Volumetric stack capacity Ah.L-1 252.162072\n", - "12 Gravimetric stack capacity Ah.kg-1 93.27935\n", + "7 n/p ratio's: \n", + "8 Practical n/p ratio 1.101073\n", + "9 Theoretical n/p ratio 0.666667\n", + "10 Stack capacities: \n", + "11 Volumetric stack capacity A.h.L-1 252.162072\n", + "12 Gravimetric stack capacity A.h.kg-1 93.27935\n", "13 Capacity mA.h.cm-2 6.494581\n", - "14 Electrode capacities \n", + "14 Electrode capacities: \n", "15 Negative electrode theoretical capacity mA.h.cm-2 7.344387\n", "16 Positive electrode theoretical capacity mA.h.cm-2 11.01658\n", - "17 Negative electrode volumetric capacity mA.h.cm-3 541.215122\n", - "18 Positive electrode volumetric capacity mA.h.cm-3 582.182107\n", - "19 Negative electrode gravimetric capacity mA.h.g-1 275.713099\n", - "20 Positive electrode gravimetric capacity mA.h.g-1 173.942917\n", - "21 Active material capacities \n", - "22 Negative electrode active material practical c... mA.h.g-1 346.540334\n", - "23 Positive electrode active material practical c... mA.h.g-1 209.906049\n", - "24 Negative electrode active material theoretical... mA.h.g-1 391.884562\n", - "25 Positive electrode active material theoretical... mA.h.g-1 356.057862\n", - "26 Stoichiometries \n", - "27 Negative electrode stoichiometry at 0% SoC - 0.02633\n", - "28 Negative electrode stoichiometry at 100% SoC - 0.910622\n", - "29 Positive electrode stoichiometry at 100% SoC - 0.263849\n", - "30 Positive electrode stoichiometry at 0% SoC - 0.853377" + "17 Negative electrode volumetric capacity A.h.L-1 541.215122\n", + "18 Positive electrode volumetric capacity A.h.L-1 582.182107\n", + "19 Negative electrode gravimetric capacity A.h.kg-1 275.713099\n", + "20 Positive electrode gravimetric capacity A.h.kg-1 173.942917\n", + "21 Active material capacities: \n", + "22 Negative electrode active material practical c... A.h.kg-1 346.540334\n", + "23 Positive electrode active material practical c... A.h.kg-1 209.906049\n", + "24 Negative electrode active material capacity A.h.kg-1 391.884562\n", + "25 Positive electrode active material capacity A.h.kg-1 356.057862\n", + "26 Stoichiometries: \n", + "27 Negative electrode stoichiometry at 0% SoC 0.02633\n", + "28 Negative electrode stoichiometry at 100% SoC 0.910622\n", + "29 Positive electrode stoichiometry at 100% SoC 0.263849\n", + "30 Positive electrode stoichiometry at 0% SoC 0.853377" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -973,8 +983,8 @@ " tea_class = tea.TEA(base, input)\n", "\n", " # save the calculated the stack energy densities in the lists\n", - " stack_volumetric_energy_densities.append(tea_class.stack_energy_densities.get(\"Volumetric stack energy density [Wh.L-1]\"))\n", - " stack_gravimetric_energy_densities.append(tea_class.stack_energy_densities.get(\"Gravimetric stack energy density [Wh.kg-1]\"))\n", + " stack_volumetric_energy_densities.append(tea_class.stack_energy_densities.get(\"Volumetric stack energy density [W.h.L-1]\"))\n", + " stack_gravimetric_energy_densities.append(tea_class.stack_energy_densities.get(\"Gravimetric stack energy density [W.h.kg-1]\"))\n", " n_p_ratios.append(tea_class.stack_energy_densities.get(\"Practical n/p ratio\"))\n", "\n", "# plot stack energy density vs thickness and n/p ratio vs thickness on a second axis\n", @@ -982,7 +992,7 @@ "ax1.plot(potentials, stack_volumetric_energy_densities, label=\"volumetric\")\n", "ax1.plot(potentials, stack_gravimetric_energy_densities, label=\"gravimetric\", linestyle='dashed')\n", "ax1.set_xlabel(\"Upper voltage cut-off [V]\")\n", - "ax1.set_ylabel(\"Stack energy densities [Wh.L-1] and [Wh.kg-1]\")\n", + "ax1.set_ylabel(\"Stack energy densities [W.h.L-1] and [W.h.kg-1]\")\n", "\n", "ax2 = ax1.twinx()\n", "ax2.plot(potentials, n_p_ratios, color=\"black\", label=\"n/p ratio\")\n", diff --git a/pybamm_tea/tea.py b/pybamm_tea/tea.py index cc06ca8..ef3e5e6 100644 --- a/pybamm_tea/tea.py +++ b/pybamm_tea/tea.py @@ -192,20 +192,20 @@ def initialize(self): "Electrolyte density [kg.m-3]" ) if ( - pava.get(f"{electrode} active material capacity [mA.h.g-1]") is not None + pava.get(f"{electrode} active material capacity [A.h.kg-1]") is not None and pava.get(f"{electrode} active material density [kg.m-3]") is not None ): if electrode == "Negative electrode": pava["Maximum concentration in negative electrode [mol.m-3]"] = ( - pava.get(f"{electrode} active material capacity [mA.h.g-1]") + pava.get(f"{electrode} active material capacity [A.h.kg-1]") * pava.get(f"{electrode} active material density [kg.m-3]") * 3600 / 96485 ) elif electrode == "Positive electrode": pava["Maximum concentration in positive electrode [mol.m-3]"] = ( - pava.get(f"{electrode} active material capacity [mA.h.g-1]") + pava.get(f"{electrode} active material capacity [A.h.kg-1]") * pava.get(f"{electrode} active material density [kg.m-3]") * 3600 / 96485 @@ -216,7 +216,7 @@ def initialize(self): and pava.get(f"{electrode} active material density [kg.m-3]") is not None ): - pava[f"{electrode} active material capacity [mA.h.g-1]"] = ( + pava[f"{electrode} active material capacity [A.h.kg-1]"] = ( pava.get( "Maximum concentration in negative electrode [mol.m-3]" ) @@ -229,7 +229,7 @@ def initialize(self): and pava.get(f"{electrode} active material density [kg.m-3]") is not None ): - pava[f"{electrode} active material capacity [mA.h.g-1]"] = ( + pava[f"{electrode} active material capacity [A.h.kg-1]"] = ( pava.get( "Maximum concentration in positive electrode [mol.m-3]" ) @@ -352,8 +352,8 @@ def print_stack_energy_densities(self): "kg.L-1", ], "Value": [ - stack_ed.get("Volumetric stack energy density [Wh.L-1]"), - stack_ed.get("Gravimetric stack energy density [Wh.kg-1]"), + stack_ed.get("Volumetric stack energy density [W.h.L-1]"), + stack_ed.get("Gravimetric stack energy density [W.h.kg-1]"), stack_ed.get("Stack average OCP [V]"), stack_ed.get("Capacity [mA.h.cm-2]"), 10**6 * stack_ed.get("Stack thickness [m]"), @@ -367,113 +367,60 @@ def print_stack_energy_densities(self): def print_capacities_and_potentials(self): """A dataframe with capacities, energy densities, stoichiometry- and potential windows, n/p ratios, (single-)stack thickness and stack density.""" stack_ed = self.stack_energy_densities - + + parameters = [ + "Stack potentials:", + "Stack average OCP [V]", + "Minimal OCP [V]", + "Maximal OCP [V]", + "Electrode potentials:", + "Negative electrode average OCP [V]", + "Positive electrode average OCP [V]", + "n/p ratio's:", + "Practical n/p ratio", + "Theoretical n/p ratio", + "Stack capacities:", + "Volumetric stack capacity [A.h.L-1]", + "Gravimetric stack capacity [A.h.kg-1]", + "Capacity [mA.h.cm-2]", + "Electrode capacities:", + "Negative electrode theoretical capacity [mA.h.cm-2]", + "Positive electrode theoretical capacity [mA.h.cm-2]", + "Negative electrode volumetric capacity [A.h.L-1]", + "Positive electrode volumetric capacity [A.h.L-1]", + "Negative electrode gravimetric capacity [A.h.kg-1]", + "Positive electrode gravimetric capacity [A.h.kg-1]", + "Active material capacities:", + "Negative electrode active material practical capacity [A.h.kg-1]", + "Positive electrode active material practical capacity [A.h.kg-1]", + "Negative electrode active material capacity [A.h.kg-1]", + "Positive electrode active material capacity [A.h.kg-1]", + "Stoichiometries:", + "Negative electrode stoichiometry at 0% SoC", + "Negative electrode stoichiometry at 100% SoC", + "Positive electrode stoichiometry at 100% SoC", + "Positive electrode stoichiometry at 0% SoC", + ] + + names = [] + units = [] + values = [] + for parameter in parameters: + if "[" in parameter: + name, unit = parameter.split("[") + names.append(name.strip()) + units.append(unit.rstrip(']')) + else: + names.append(parameter.strip()) + units.append("") + values.append(stack_ed.get(parameter, self.parameter_values.get(parameter, ""))) + data = { - "Parameter": [ - "", - "Stack average OCP", - "Maximal OCP", - "Minimal OCP", - "", - "Negative electrode average OCP", - "Positive electrode average OCP", - "", - "n/p ratio's", - "Practical n/p ratio", - "Theoretical n/p ratio", - "", - "Stack capacities", - "Volumetric stack capacity", - "Gravimetric stack capacity", - "Capacity", - "", - "Electrode capacities", - "Negative electrode theoretical capacity", - "Positive electrode theoretical capacity", - "Negative electrode volumetric capacity", - "Positive electrode volumetric capacity", - "Negative electrode gravimetric capacity", - "Positive electrode gravimetric capacity", - "", - "Active material capacities", - "Negative electrode active material practical capacity", - "Positive electrode active material practical capacity", - "Negative electrode active material theoretical capacity", - "Positive electrode active material theoretical capacity", - "", - "Stoichiometries", - "Negative electrode stoichiometry at 0% SoC", - "Negative electrode stoichiometry at 100% SoC", - "Positive electrode stoichiometry at 100% SoC", - "Positive electrode stoichiometry at 0% SoC", - ], - "Unit": [ - "", - "V", - "V", - "V", - "", - "V", - "V", - "", - "-", - "-", - "", - "A.h.L-1", - "A.h.kg-1", - "mA.h.cm-2", - "", - "mA.h.cm-2", - "mA.h.cm-2", - "A.h.L-1", - "A.h.L-1", - "A.h.kg-1", - "A.h.kg-1", - "", - "A.h.kg-1", - "A.h.kg-1", - "A.h.kg-1", - "A.h.kg-1", - "", - "-", - "-", - "-", - "-", - ], - "Value": [ - "", - stack_ed.get("Stack average OCP [V]"), - stack_ed.get("Maximal OCP [V]"), - stack_ed.get("Minimal OCP [V]"), - "", - stack_ed.get("Negative electrode average OCP [V]"), - stack_ed.get("Positive electrode average OCP [V]"), - "", - stack_ed.get("Practical n/p ratio"), - self.parameter_values.get("Theoretical n/p ratio"), - "", - stack_ed.get("Volumetric stack capacity [Ah.L-1]"), - stack_ed.get("Gravimetric stack capacity [Ah.kg-1]"), - stack_ed.get("Capacity [mA.h.cm-2]"), - "", - stack_ed.get("Negative electrode theoretical capacity [mA.h.cm-2]"), - stack_ed.get("Positive electrode theoretical capacity [mA.h.cm-2]"), - stack_ed.get("Negative electrode volumetric capacity [mA.h.cm-3]"), - stack_ed.get("Positive electrode volumetric capacity [mA.h.cm-3]"), - stack_ed.get("Negative electrode gravimetric capacity [mA.h.g-1]"), - stack_ed.get("Positive electrode gravimetric capacity [mA.h.g-1]"), - "", - stack_ed.get("Negative electrode active material practical capacity [mA.h.g-1]"), - stack_ed.get("Positive electrode active material practical capacity [mA.h.g-1]"), - self.parameter_values.get("Negative electrode active material capacity [mA.h.g-1]"), - self.parameter_values.get("Positive electrode active material capacity [mA.h.g-1]"), - "", - stack_ed.get("Negative electrode stoichiometry at 0% SoC"), - stack_ed.get("Negative electrode stoichiometry at 100% SoC"), - stack_ed.get("Positive electrode stoichiometry at 100% SoC"), - stack_ed.get("Positive electrode stoichiometry at 0% SoC"), - ], - } + "Parameter": names, + "Unit": units, + "Value": values, + } + # Create the DataFrame from the dictionary df = pd.DataFrame(data) return df @@ -530,7 +477,7 @@ def calculate_stack_energy_densities(self): electrodes = ["Negative electrode", "Positive electrode"] electrodes_ = ["negative electrode", "positive electrode"] for electrode, electrode_ in zip(electrodes, electrodes_): - stack_ed[f"{electrode} volumetric capacity [mA.h.cm-3]"] = ( + stack_ed[f"{electrode} volumetric capacity [A.h.L-1]"] = ( pava.get(f"Maximum concentration in {electrode_} [mol.m-3]") * 96485 / 3.6 @@ -549,13 +496,13 @@ def calculate_stack_energy_densities(self): ) ) ) - stack_ed[f"{electrode} gravimetric capacity [mA.h.g-1]"] = ( - stack_ed.get(f"{electrode} volumetric capacity [mA.h.cm-3]") + stack_ed[f"{electrode} gravimetric capacity [A.h.kg-1]"] = ( + stack_ed.get(f"{electrode} volumetric capacity [A.h.L-1]") / pava.get(f"{electrode} density [kg.m-3]") * 1000 ) # cm3.L-1 - stack_ed[f"{electrode} active material practical capacity [mA.h.g-1]"] = ( - stack_ed.get(f"{electrode} volumetric capacity [mA.h.cm-3]") + stack_ed[f"{electrode} active material practical capacity [A.h.kg-1]"] = ( + stack_ed.get(f"{electrode} volumetric capacity [A.h.L-1]") / pava.get(f"{electrode} active material volume fraction") / pava.get(f"{electrode} active material density [kg.m-3]") * 1000 @@ -563,7 +510,7 @@ def calculate_stack_energy_densities(self): stack_ed[f"{electrode} capacity [mA.h.cm-2]"] = pava.get( f"{electrode} capacity [mA.h.cm-2]" ) or ( - stack_ed.get(f"{electrode} volumetric capacity [mA.h.cm-3]") + stack_ed.get(f"{electrode} volumetric capacity [A.h.L-1]") * pava.get(f"{electrode} thickness [m]") * 100 ) # cm.m-1 @@ -662,14 +609,14 @@ def calculate_stack_energy_densities(self): ) # volumetric stack capacity in [Ah.L-1] and volumetric stack energy density in [Wh.L-1] - stack_ed["Volumetric stack capacity [Ah.L-1]"] = ( + stack_ed["Volumetric stack capacity [A.h.L-1]"] = ( stack_ed.get("Capacity [mA.h.cm-2]") / stack_ed.get("Stack thickness [m]") / 100 ) - stack_ed["Volumetric stack energy density [Wh.L-1]"] = ( + stack_ed["Volumetric stack energy density [W.h.L-1]"] = ( stack_ed.get("Stack average OCP [V]") - * stack_ed["Volumetric stack capacity [Ah.L-1]"] + * stack_ed["Volumetric stack capacity [A.h.L-1]"] ) # stack density @@ -696,13 +643,13 @@ def calculate_stack_energy_densities(self): ) / stack_ed.get("Stack thickness [m]") # gravimetric stack capacity in [Ah.L-1] and gravimetric stack energy density in [Wh.L-1] - stack_ed["Gravimetric stack capacity [Ah.kg-1]"] = ( - stack_ed.get("Volumetric stack capacity [Ah.L-1]") + stack_ed["Gravimetric stack capacity [A.h.kg-1]"] = ( + stack_ed.get("Volumetric stack capacity [A.h.L-1]") / stack_ed.get("Stack density [kg.m-3]") * 1000 ) - stack_ed["Gravimetric stack energy density [Wh.kg-1]"] = ( - stack_ed.get("Volumetric stack energy density [Wh.L-1]") + stack_ed["Gravimetric stack energy density [W.h.kg-1]"] = ( + stack_ed.get("Volumetric stack energy density [W.h.L-1]") / stack_ed.get("Stack density [kg.m-3]") * 1000 ) From 153ff5fd0b4187b41e2cb98fd992cb030e415a83 Mon Sep 17 00:00:00 2001 From: julian-evers <133691040+julian-evers@users.noreply.github.com> Date: Wed, 18 Oct 2023 23:20:31 +0200 Subject: [PATCH 4/5] dataframes --- README.md | 2 +- examples/stackbreakdown.ipynb | 181 +++++++++++++--------------------- pybamm_tea/tea.py | 64 ++++++------ 3 files changed, 96 insertions(+), 151 deletions(-) diff --git a/README.md b/README.md index 64f0021..fc745be 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # -![logo](pybamm_tea_logo.png) +![PyBaMM-TEA-logo](https://github.com/pybamm-team/pybamm-tea/blob/main/docs/_static/pybamm_tea_logo.PNG) # PyBaMM-TEA diff --git a/examples/stackbreakdown.ipynb b/examples/stackbreakdown.ipynb index fb921bd..8010cef 100644 --- a/examples/stackbreakdown.ipynb +++ b/examples/stackbreakdown.ipynb @@ -45,11 +45,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:757: UserWarning: Warning: Negative electrode inactive material volume fraction is 0, Negative electrode inactive material density is set to 0\n", + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:753: UserWarning: Warning: Negative electrode inactive material volume fraction is 0, Negative electrode inactive material density is set to 0\n", " warnings.warn(\n", - "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:757: UserWarning: Warning: Positive electrode inactive material volume fraction is 0, Positive electrode inactive material density is set to 0\n", + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:753: UserWarning: Warning: Positive electrode inactive material volume fraction is 0, Positive electrode inactive material density is set to 0\n", " warnings.warn(\n", - "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:951: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:947: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", " plt.tight_layout()\n" ] }, @@ -300,7 +300,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:951: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + "C:\\Users\\Julian\\Documents\\GitHub\\pybamm-tea\\pybamm_tea\\tea.py:947: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", " plt.tight_layout()\n" ] }, @@ -595,14 +595,14 @@ " \n", " \n", " 0\n", - " Volumetric energy density\n", - " Wh.L-1\n", + " Volumetric stack energy density\n", + " W.h.L-1\n", " 936.576473\n", " \n", " \n", " 1\n", - " Gravimetric energy density\n", - " Wh.kg-1\n", + " Gravimetric stack energy density\n", + " W.h.kg-1\n", " 346.456720\n", " \n", " \n", @@ -619,7 +619,7 @@ " \n", " \n", " 4\n", - " (Single-) stack thickness\n", + " Stack thickness\n", " um\n", " 257.555841\n", " \n", @@ -634,13 +634,13 @@ "" ], "text/plain": [ - " Parameter Unit Value\n", - "0 Volumetric energy density Wh.L-1 936.576473\n", - "1 Gravimetric energy density Wh.kg-1 346.456720\n", - "2 Stack average OCP V 3.714185\n", - "3 Capacity mA.h.cm-2 6.494581\n", - "4 (Single-) stack thickness um 257.555841\n", - "5 Stack density kg.L-1 2.703300" + " Parameter Unit Value\n", + "0 Volumetric stack energy density W.h.L-1 936.576473\n", + "1 Gravimetric stack energy density W.h.kg-1 346.456720\n", + "2 Stack average OCP V 3.714185\n", + "3 Capacity mA.h.cm-2 6.494581\n", + "4 Stack thickness um 257.555841\n", + "5 Stack density kg.L-1 2.703300" ] }, "execution_count": 4, @@ -737,186 +737,144 @@ " \n", " \n", " 0\n", - " Stack potentials:\n", - " \n", - " \n", - " \n", - " \n", - " 1\n", " Stack average OCP\n", " V\n", " 3.714185\n", " \n", " \n", - " 2\n", + " 1\n", " Minimal OCP\n", " V\n", " 2.500043\n", " \n", " \n", - " 3\n", + " 2\n", " Maximal OCP\n", " V\n", " 4.199987\n", " \n", " \n", - " 4\n", - " Electrode potentials:\n", - " \n", - " \n", - " \n", - " \n", - " 5\n", + " 3\n", " Negative electrode average OCP\n", " V\n", " 0.193724\n", " \n", " \n", - " 6\n", + " 4\n", " Positive electrode average OCP\n", " V\n", " 3.907909\n", " \n", " \n", - " 7\n", - " n/p ratio's:\n", - " \n", - " \n", - " \n", - " \n", - " 8\n", + " 5\n", " Practical n/p ratio\n", " \n", " 1.101073\n", " \n", " \n", - " 9\n", + " 6\n", " Theoretical n/p ratio\n", " \n", " 0.666667\n", " \n", " \n", - " 10\n", - " Stack capacities:\n", - " \n", - " \n", - " \n", - " \n", - " 11\n", + " 7\n", " Volumetric stack capacity\n", " A.h.L-1\n", " 252.162072\n", " \n", " \n", - " 12\n", + " 8\n", " Gravimetric stack capacity\n", " A.h.kg-1\n", - " 93.27935\n", + " 93.279350\n", " \n", " \n", - " 13\n", + " 9\n", " Capacity\n", " mA.h.cm-2\n", " 6.494581\n", " \n", " \n", - " 14\n", - " Electrode capacities:\n", - " \n", - " \n", - " \n", - " \n", - " 15\n", + " 10\n", " Negative electrode theoretical capacity\n", " mA.h.cm-2\n", " 7.344387\n", " \n", " \n", - " 16\n", + " 11\n", " Positive electrode theoretical capacity\n", " mA.h.cm-2\n", - " 11.01658\n", + " 11.016580\n", " \n", " \n", - " 17\n", + " 12\n", " Negative electrode volumetric capacity\n", " A.h.L-1\n", " 541.215122\n", " \n", " \n", - " 18\n", + " 13\n", " Positive electrode volumetric capacity\n", " A.h.L-1\n", " 582.182107\n", " \n", " \n", - " 19\n", + " 14\n", " Negative electrode gravimetric capacity\n", " A.h.kg-1\n", " 275.713099\n", " \n", " \n", - " 20\n", + " 15\n", " Positive electrode gravimetric capacity\n", " A.h.kg-1\n", " 173.942917\n", " \n", " \n", - " 21\n", - " Active material capacities:\n", - " \n", - " \n", - " \n", - " \n", - " 22\n", + " 16\n", " Negative electrode active material practical c...\n", " A.h.kg-1\n", " 346.540334\n", " \n", " \n", - " 23\n", + " 17\n", " Positive electrode active material practical c...\n", " A.h.kg-1\n", " 209.906049\n", " \n", " \n", - " 24\n", + " 18\n", " Negative electrode active material capacity\n", " A.h.kg-1\n", " 391.884562\n", " \n", " \n", - " 25\n", + " 19\n", " Positive electrode active material capacity\n", " A.h.kg-1\n", " 356.057862\n", " \n", " \n", - " 26\n", - " Stoichiometries:\n", - " \n", - " \n", - " \n", - " \n", - " 27\n", + " 20\n", " Negative electrode stoichiometry at 0% SoC\n", " \n", - " 0.02633\n", + " 0.026330\n", " \n", " \n", - " 28\n", + " 21\n", " Negative electrode stoichiometry at 100% SoC\n", " \n", " 0.910622\n", " \n", " \n", - " 29\n", + " 22\n", " Positive electrode stoichiometry at 100% SoC\n", " \n", " 0.263849\n", " \n", " \n", - " 30\n", + " 23\n", " Positive electrode stoichiometry at 0% SoC\n", " \n", " 0.853377\n", @@ -927,37 +885,30 @@ ], "text/plain": [ " Parameter Unit Value\n", - "0 Stack potentials: \n", - "1 Stack average OCP V 3.714185\n", - "2 Minimal OCP V 2.500043\n", - "3 Maximal OCP V 4.199987\n", - "4 Electrode potentials: \n", - "5 Negative electrode average OCP V 0.193724\n", - "6 Positive electrode average OCP V 3.907909\n", - "7 n/p ratio's: \n", - "8 Practical n/p ratio 1.101073\n", - "9 Theoretical n/p ratio 0.666667\n", - "10 Stack capacities: \n", - "11 Volumetric stack capacity A.h.L-1 252.162072\n", - "12 Gravimetric stack capacity A.h.kg-1 93.27935\n", - "13 Capacity mA.h.cm-2 6.494581\n", - "14 Electrode capacities: \n", - "15 Negative electrode theoretical capacity mA.h.cm-2 7.344387\n", - "16 Positive electrode theoretical capacity mA.h.cm-2 11.01658\n", - "17 Negative electrode volumetric capacity A.h.L-1 541.215122\n", - "18 Positive electrode volumetric capacity A.h.L-1 582.182107\n", - "19 Negative electrode gravimetric capacity A.h.kg-1 275.713099\n", - "20 Positive electrode gravimetric capacity A.h.kg-1 173.942917\n", - "21 Active material capacities: \n", - "22 Negative electrode active material practical c... A.h.kg-1 346.540334\n", - "23 Positive electrode active material practical c... A.h.kg-1 209.906049\n", - "24 Negative electrode active material capacity A.h.kg-1 391.884562\n", - "25 Positive electrode active material capacity A.h.kg-1 356.057862\n", - "26 Stoichiometries: \n", - "27 Negative electrode stoichiometry at 0% SoC 0.02633\n", - "28 Negative electrode stoichiometry at 100% SoC 0.910622\n", - "29 Positive electrode stoichiometry at 100% SoC 0.263849\n", - "30 Positive electrode stoichiometry at 0% SoC 0.853377" + "0 Stack average OCP V 3.714185\n", + "1 Minimal OCP V 2.500043\n", + "2 Maximal OCP V 4.199987\n", + "3 Negative electrode average OCP V 0.193724\n", + "4 Positive electrode average OCP V 3.907909\n", + "5 Practical n/p ratio 1.101073\n", + "6 Theoretical n/p ratio 0.666667\n", + "7 Volumetric stack capacity A.h.L-1 252.162072\n", + "8 Gravimetric stack capacity A.h.kg-1 93.279350\n", + "9 Capacity mA.h.cm-2 6.494581\n", + "10 Negative electrode theoretical capacity mA.h.cm-2 7.344387\n", + "11 Positive electrode theoretical capacity mA.h.cm-2 11.016580\n", + "12 Negative electrode volumetric capacity A.h.L-1 541.215122\n", + "13 Positive electrode volumetric capacity A.h.L-1 582.182107\n", + "14 Negative electrode gravimetric capacity A.h.kg-1 275.713099\n", + "15 Positive electrode gravimetric capacity A.h.kg-1 173.942917\n", + "16 Negative electrode active material practical c... A.h.kg-1 346.540334\n", + "17 Positive electrode active material practical c... A.h.kg-1 209.906049\n", + "18 Negative electrode active material capacity A.h.kg-1 391.884562\n", + "19 Positive electrode active material capacity A.h.kg-1 356.057862\n", + "20 Negative electrode stoichiometry at 0% SoC 0.026330\n", + "21 Negative electrode stoichiometry at 100% SoC 0.910622\n", + "22 Positive electrode stoichiometry at 100% SoC 0.263849\n", + "23 Positive electrode stoichiometry at 0% SoC 0.853377" ] }, "execution_count": 5, diff --git a/pybamm_tea/tea.py b/pybamm_tea/tea.py index ef3e5e6..8e95c45 100644 --- a/pybamm_tea/tea.py +++ b/pybamm_tea/tea.py @@ -334,33 +334,31 @@ def print_stack_energy_densities(self): """A dataframe with capacities, energy densities, stoichiometry- and potential windows, n/p ratios, (single-)stack thickness and stack density.""" stack_ed = self.stack_energy_densities + parameters = [ + "Volumetric stack energy density [W.h.L-1]", + "Gravimetric stack energy density [W.h.kg-1]", + "Stack average OCP [V]", + "Capacity [mA.h.cm-2]", + "Stack thickness [um]", + "Stack density [kg.L-1]", + ] + + names = [] + units = [] + values = [] + + for parameter in parameters: + name, unit = parameter.split("[") + names.append(name.strip()) + units.append(unit.rstrip(']')) + values.append(stack_ed.get(parameter)) + data = { - "Parameter": [ - "Volumetric energy density", - "Gravimetric energy density", - "Stack average OCP", - "Capacity", - "(Single-) stack thickness", - "Stack density", - ], - "Unit": [ - "Wh.L-1", - "Wh.kg-1", - "V", - "mA.h.cm-2", - "um", - "kg.L-1", - ], - "Value": [ - stack_ed.get("Volumetric stack energy density [W.h.L-1]"), - stack_ed.get("Gravimetric stack energy density [W.h.kg-1]"), - stack_ed.get("Stack average OCP [V]"), - stack_ed.get("Capacity [mA.h.cm-2]"), - 10**6 * stack_ed.get("Stack thickness [m]"), - 10**-3 * stack_ed.get("Stack density [kg.m-3]"), - ], - } - # Create the DataFrame from the dictionary + "Parameter": names, + "Unit": units, + "Value": values, + } + df = pd.DataFrame(data) return df @@ -369,33 +367,26 @@ def print_capacities_and_potentials(self): stack_ed = self.stack_energy_densities parameters = [ - "Stack potentials:", "Stack average OCP [V]", "Minimal OCP [V]", "Maximal OCP [V]", - "Electrode potentials:", "Negative electrode average OCP [V]", "Positive electrode average OCP [V]", - "n/p ratio's:", "Practical n/p ratio", "Theoretical n/p ratio", - "Stack capacities:", "Volumetric stack capacity [A.h.L-1]", "Gravimetric stack capacity [A.h.kg-1]", "Capacity [mA.h.cm-2]", - "Electrode capacities:", "Negative electrode theoretical capacity [mA.h.cm-2]", "Positive electrode theoretical capacity [mA.h.cm-2]", "Negative electrode volumetric capacity [A.h.L-1]", "Positive electrode volumetric capacity [A.h.L-1]", "Negative electrode gravimetric capacity [A.h.kg-1]", "Positive electrode gravimetric capacity [A.h.kg-1]", - "Active material capacities:", "Negative electrode active material practical capacity [A.h.kg-1]", "Positive electrode active material practical capacity [A.h.kg-1]", "Negative electrode active material capacity [A.h.kg-1]", "Positive electrode active material capacity [A.h.kg-1]", - "Stoichiometries:", "Negative electrode stoichiometry at 0% SoC", "Negative electrode stoichiometry at 100% SoC", "Positive electrode stoichiometry at 100% SoC", @@ -413,7 +404,7 @@ def print_capacities_and_potentials(self): else: names.append(parameter.strip()) units.append("") - values.append(stack_ed.get(parameter, self.parameter_values.get(parameter, ""))) + values.append(stack_ed.get(parameter, self.parameter_values.get(parameter))) data = { "Parameter": names, @@ -421,7 +412,6 @@ def print_capacities_and_potentials(self): "Value": values, } - # Create the DataFrame from the dictionary df = pd.DataFrame(data) return df @@ -654,6 +644,10 @@ def calculate_stack_energy_densities(self): * 1000 ) + # convert units + stack_ed["Stack thickness [um]"] = 10**6 * stack_ed.get("Stack thickness [m]") + stack_ed["Stack density [kg.L-1]"] = 10**-3 * stack_ed.get("Stack density [kg.m-3]") + return stack_ed def calculate_stack_breakdown(self): From 30e8b0b35468df90c2b522889918d98722b1dc10 Mon Sep 17 00:00:00 2001 From: julian-evers <133691040+julian-evers@users.noreply.github.com> Date: Thu, 19 Oct 2023 00:04:09 +0200 Subject: [PATCH 5/5] dataframes_ --- tests/test_tea.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_tea.py b/tests/test_tea.py index 09c0137..57e7547 100644 --- a/tests/test_tea.py +++ b/tests/test_tea.py @@ -22,10 +22,10 @@ def ExampleModel(self): def test_stack_energy_densities(self): tea_nco = self.ExampleModel() self.assertIsInstance(tea_nco.stack_energy_densities, dict) - self.assertEqual(len(list(tea_nco.stack_energy_densities.keys())), 32) + self.assertEqual(len(list(tea_nco.stack_energy_densities.keys())), 34) self.assertEqual( tea_nco.stack_energy_densities.get( - "Gravimetric stack energy density [Wh.kg-1]" + "Gravimetric stack energy density [W.h.kg-1]" ).round(), 200.0, )