From 4265569fbaf8873938278ed2597c8f8a2f311636 Mon Sep 17 00:00:00 2001 From: Simon O'Kane <42972513+DrSOKane@users.noreply.github.com> Date: Tue, 3 Oct 2023 08:53:25 +0100 Subject: [PATCH] Issue 2219 initial soc from experiment (#2851) * Added initial soc example * rpt example * first draft of rpt code hackthon * Hackathon: new notebook complete * Renamed notebook to avoid merge conflicts * Reverted notebook to original name * changelog * Deleted redundant notebook * Added discharge capacity scatter plot to notebook * changelog * Moved RPT notebook to where it belongs * Added rpt-experiment to index.rst * Updated notebook to follow new rule * minor change to notebook --------- Co-authored-by: Robert Timms Co-authored-by: GaneshM --- CHANGELOG.md | 1 + docs/source/examples/index.rst | 1 + .../initialize-model-with-solution.ipynb | 4 +- .../examples/notebooks/rpt-experiment.ipynb | 429 ++++++++++++++++++ 4 files changed, 433 insertions(+), 2 deletions(-) create mode 100644 docs/source/examples/notebooks/rpt-experiment.ipynb diff --git a/CHANGELOG.md b/CHANGELOG.md index 21cfb2ae87..f25a7131a9 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -6,6 +6,7 @@ - Processed variables now get the spatial variables automatically, allowing plotting of more generic models ([#3234](https://github.com/pybamm-team/PyBaMM/pull/3234)) - Numpy functions now work with PyBaMM symbols (e.g. `np.exp(pybamm.Symbol("a"))` returns `pybamm.Exp(pybamm.Symbol("a"))`). This means that parameter functions can be specified using numpy functions instead of pybamm functions. Additionally, combining numpy arrays with pybamm objects now works (the numpy array is converted to a pybamm array) ([#3205](https://github.com/pybamm-team/PyBaMM/pull/3205)) - Implement the MSMR model ([#3116](https://github.com/pybamm-team/PyBaMM/pull/3116)) +- Added new example notebook `rpt-experiment` to demonstrate how to set up degradation experiments with RPTs ([#2851](https://github.com/pybamm-team/PyBaMM/pull/2851)) ## Bug fixes diff --git a/docs/source/examples/index.rst b/docs/source/examples/index.rst index 4bab430032..1c870f81db 100644 --- a/docs/source/examples/index.rst +++ b/docs/source/examples/index.rst @@ -111,6 +111,7 @@ The notebooks are organised into subfolders, and can be viewed in the galleries notebooks/callbacks.ipynb notebooks/change-settings.ipynb notebooks/initialize-model-with-solution.ipynb + notebooks/rpt-experiment.ipynb notebooks/simulating-long-experiments.ipynb notebooks/simulation-class.ipynb notebooks/solution-data-and-processed-variables.ipynb diff --git a/docs/source/examples/notebooks/initialize-model-with-solution.ipynb b/docs/source/examples/notebooks/initialize-model-with-solution.ipynb index aba568d33f..8691439334 100644 --- a/docs/source/examples/notebooks/initialize-model-with-solution.ipynb +++ b/docs/source/examples/notebooks/initialize-model-with-solution.ipynb @@ -311,7 +311,7 @@ ], "metadata": { "kernelspec": { - "display_name": "pybamm", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -325,7 +325,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.8.10" }, "toc": { "base_numbering": 1, diff --git a/docs/source/examples/notebooks/rpt-experiment.ipynb b/docs/source/examples/notebooks/rpt-experiment.ipynb new file mode 100644 index 0000000000..cbe07e3a55 --- /dev/null +++ b/docs/source/examples/notebooks/rpt-experiment.ipynb @@ -0,0 +1,429 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ed85baef", + "metadata": {}, + "source": [ + "# Degradation experiments with reference performance tests" + ] + }, + { + "cell_type": "markdown", + "id": "0854463d", + "metadata": {}, + "source": [ + "When running degradation experiments in the lab, it is important to use reference performance tests (RPTs) to measure capacity and other key metrics, otherwise the experimental contitions will interfere with the measurement! In PyBaMM, you can run simulations with RPTs using the `Experiment` class." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ee358ae8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install pybamm[plot,cite] -q # install PyBaMM if it is not installed\n", + "\n", + "import pybamm\n", + "import matplotlib.pyplot as plt\n", + "import os\n", + "\n", + "os.chdir(pybamm.__path__[0]+'/..')" + ] + }, + { + "cell_type": "markdown", + "id": "1ee2a95e", + "metadata": {}, + "source": [ + "Load a simple degradation model" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "89901d6d", + "metadata": {}, + "outputs": [], + "source": [ + "model = pybamm.lithium_ion.SPM({\"SEI\": \"ec reaction limited\"})\n", + "parameter_values = pybamm.ParameterValues(\"Mohtat2020\")\n", + "parameter_values.update({\"SEI kinetic rate constant [m.s-1]\": 1e-14})" + ] + }, + { + "cell_type": "markdown", + "id": "1b5de491", + "metadata": {}, + "source": [ + "Define three different experiments using the Experiment class:\n", + "* cccv_experiment is a cycle ageing experiment\n", + "* charge_experiment charges to full after N ageing cycles\n", + "* rpt_experiment is a C/3 discharge in this case, but can also contain a charge, GITT, EIS and other procedures" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5f50d944", + "metadata": {}, + "outputs": [], + "source": [ + "N = 10\n", + "cccv_experiment = pybamm.Experiment([\n", + " (\"Charge at 1C until 4.2V\", \n", + " \"Hold at 4.2V until C/50\",\n", + " \"Discharge at 1C until 3V\",\n", + " \"Rest for 1 hour\",\n", + " )\n", + "] * N)\n", + "charge_experiment = pybamm.Experiment([\n", + " (\"Charge at 1C until 4.2V\", \n", + " \"Hold at 4.2V until C/50\",\n", + " )\n", + "])\n", + "rpt_experiment = pybamm.Experiment([\n", + " (\"Discharge at C/3 until 3V\",)\n", + "])" + ] + }, + { + "cell_type": "markdown", + "id": "e0159eb0", + "metadata": {}, + "source": [ + "Run the ageing, charge and RPT experiments in order by feeding the previous solution into the solve command:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3fcb0940", + "metadata": {}, + "outputs": [], + "source": [ + "sim = pybamm.Simulation(model, experiment=cccv_experiment, parameter_values=parameter_values)\n", + "cccv_sol = sim.solve()\n", + "sim = pybamm.Simulation(model, experiment=charge_experiment, parameter_values=parameter_values)\n", + "charge_sol = sim.solve(starting_solution=cccv_sol)\n", + "sim = pybamm.Simulation(model, experiment=rpt_experiment, parameter_values=parameter_values)\n", + "rpt_sol = sim.solve(starting_solution=charge_sol)" + ] + }, + { + "cell_type": "markdown", + "id": "9474391c", + "metadata": {}, + "source": [ + "Plot detailed current/voltage data for the RPT cycle only:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a7c53c87", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fcfcd6773a1649f6ad6890ca9d6610e6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=32.16021213978805, description='t', max=34.910964151192324, min=32.160…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pybamm.dynamic_plot(rpt_sol.cycles[-1], [\"Current [A]\", \"Voltage [V]\"])" + ] + }, + { + "cell_type": "markdown", + "id": "b44afad3", + "metadata": {}, + "source": [ + "PyBaMM's summary variables track important cell-level degradation veriables at the end of each cycle. The charge and RPT cycles are also counted, making a total of 12 cycles:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d2cee8d9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pybamm.plot_summary_variables(rpt_sol);" + ] + }, + { + "cell_type": "markdown", + "id": "bf87ccc0", + "metadata": {}, + "source": [ + "Repeat the procedure four times:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0a53f14d", + "metadata": {}, + "outputs": [], + "source": [ + "cccv_sols = []\n", + "charge_sols = []\n", + "rpt_sols = []\n", + "M = 5\n", + "for i in range(M):\n", + " if i != 0: # skip the first set of ageing cycles because it's already been done\n", + " sim = pybamm.Simulation(model, experiment=cccv_experiment, parameter_values=parameter_values)\n", + " cccv_sol = sim.solve(starting_solution=rpt_sol)\n", + " sim = pybamm.Simulation(model, experiment=charge_experiment, parameter_values=parameter_values)\n", + " charge_sol = sim.solve(starting_solution=cccv_sol)\n", + " sim = pybamm.Simulation(model, experiment=rpt_experiment, parameter_values=parameter_values)\n", + " rpt_sol = sim.solve(starting_solution=charge_sol)\n", + " cccv_sols.append(cccv_sol)\n", + " charge_sols.append(charge_sol)\n", + " rpt_sols.append(rpt_sol)" + ] + }, + { + "cell_type": "markdown", + "id": "c9bbb981", + "metadata": {}, + "source": [ + "You can plot any RPT cycle. The last one is chosen here." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "744a06c3", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "36de09f82f3849c982f98497b4cbd5cd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=161.47100901868143, description='t', max=163.71508382969813, min=161.4…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pybamm.dynamic_plot(rpt_sols[-1].cycles[-1], [\"Current [A]\", \"Voltage [V]\"])" + ] + }, + { + "cell_type": "markdown", + "id": "0a95f6ae", + "metadata": {}, + "source": [ + "One way of demonstrating how useful RPTs are is to plot the discharge capacity for each cycle. It is convenient to use the final `rpt_sol` because it also contains all previous simulations." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "89401a9b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "cccv_cycles = []\n", + "cccv_capacities = []\n", + "rpt_cycles = []\n", + "rpt_capacities = []\n", + "for i in range (M):\n", + " for j in range(N):\n", + " cccv_cycles.append(i*(N+2)+j+1)\n", + " start_capacity = rpt_sol.cycles[i*(N+2)+j].steps[2][\"Discharge capacity [A.h]\"].entries[0]\n", + " end_capacity = rpt_sol.cycles[i*(N+2)+j].steps[2][\"Discharge capacity [A.h]\"].entries[-1]\n", + " cccv_capacities.append(end_capacity-start_capacity)\n", + " rpt_cycles.append((i+1)*(N+2))\n", + " start_capacity = rpt_sol.cycles[(i+1)*(N+2)-1][\"Discharge capacity [A.h]\"].entries[0]\n", + " end_capacity = rpt_sol.cycles[(i+1)*(N+2)-1][\"Discharge capacity [A.h]\"].entries[-1]\n", + " rpt_capacities.append(end_capacity-start_capacity)\n", + "plt.scatter(cccv_cycles,cccv_capacities,label=\"Ageing cycles\")\n", + "plt.scatter(rpt_cycles,rpt_capacities,label=\"RPT cycles\")\n", + "plt.xlabel(\"Cycle number\")\n", + "plt.ylabel(\"Discharge capacity [A.h]\")\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "id": "c46698cf", + "metadata": {}, + "source": [ + "The ageing cycles have a higher discharge rate than the RPT cycles and therefore have a slightly lower discharge capacity. (The charge cycles are not included because they have no discharge capacity.)" + ] + }, + { + "cell_type": "markdown", + "id": "4cf20ccb", + "metadata": {}, + "source": [ + "Finally, plot the summary variables for the entire experiment run." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "3b0346d8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pybamm.plot_summary_variables(rpt_sol);" + ] + }, + { + "cell_type": "markdown", + "id": "87b38fc7", + "metadata": {}, + "source": [ + "# References\n", + "\n", + "The relevant papers for this notebook are:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "e60c96be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1] Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl. CasADi – A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1):1–36, 2019. doi:10.1007/s12532-018-0139-4.\n", + "[2] Ferran Brosa Planella and W. Dhammika Widanage. Systematic derivation of a Single Particle Model with Electrolyte and Side Reactions (SPMe+SR) for degradation of lithium-ion batteries. Submitted for publication, ():, 2022. doi:.\n", + "[3] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", + "[4] Scott G. Marquis, Valentin Sulzer, Robert Timms, Colin P. Please, and S. Jon Chapman. An asymptotic derivation of a single particle model with electrolyte. Journal of The Electrochemical Society, 166(15):A3693–A3706, 2019. doi:10.1149/2.0341915jes.\n", + "[5] Peyman Mohtat, Suhak Lee, Jason B Siegel, and Anna G Stefanopoulou. Towards better estimability of electrode-specific state of health: decoding the cell expansion. Journal of Power Sources, 427:101–111, 2019.\n", + "[6] Peyman Mohtat, Suhak Lee, Valentin Sulzer, Jason B. Siegel, and Anna G. Stefanopoulou. Differential Expansion and Voltage Model for Li-ion Batteries at Practical Charging Rates. Journal of The Electrochemical Society, 167(11):110561, 2020. doi:10.1149/1945-7111/aba5d1.\n", + "[7] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", + "[8] Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, and others. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3):261–272, 2020. doi:10.1038/s41592-019-0686-2.\n", + "[9] Andrew Weng, Jason B Siegel, and Anna Stefanopoulou. Differential voltage analysis for battery manufacturing process control. arXiv preprint arXiv:2303.07088, 2023.\n", + "[10] Xiao Guang Yang, Yongjun Leng, Guangsheng Zhang, Shanhai Ge, and Chao Yang Wang. Modeling of lithium plating induced aging of lithium-ion batteries: transition from linear to nonlinear aging. Journal of Power Sources, 360:28–40, 2017. doi:10.1016/j.jpowsour.2017.05.110.\n", + "\n" + ] + } + ], + "source": [ + "pybamm.print_citations()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}