{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Combining Objectives example\n", "\n", "This notebook shows how to construct and combine custom `Objective` classes to fit multiple objectives at once (e.g. simultaneously fit two data sets). For design principles, see the [user_guide](../user_guide/design_principles.md)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2024-03-28T15:29:32.325170Z", "start_time": "2024-03-28T15:29:31.515646Z" } }, "outputs": [], "source": [ "import pybamm\n", "import numpy as np\n", "import pandas as pd\n", "import ionworkspipeline as iwp" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Simple pulse example\n", "\n", "For this example, we set up a single particle model with a temperature dependent diffusivity. The goal is to fit the activation energy of the diffusivity using data generated from simple pulse experiments conducted at different temperatures.\n", "\n", "We first set up the model and parameters" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2024-03-28T15:29:32.348294Z", "start_time": "2024-03-28T15:29:32.326222Z" } }, "outputs": [], "source": [ "model = pybamm.lithium_ion.SPM()\n", "parameter_values = pybamm.ParameterValues(\"Chen2020\")\n", "\n", "\n", "def D_n(c, T):\n", " D_ref = pybamm.Parameter(\"Negative electrode reference diffusivity [m2.s-1]\")\n", " E_D_s = pybamm.Parameter(\n", " \"Negative particle diffusivity activation energy [J.mol-1]\"\n", " )\n", " arrhenius = np.exp(-E_D_s / (pybamm.constants.R * T)) * np.exp(\n", " E_D_s / (pybamm.constants.R * 296)\n", " )\n", " return D_ref * arrhenius\n", "\n", "\n", "parameter_values.update(\n", " {\n", " \"Negative particle diffusivity [m2.s-1]\": D_n,\n", " \"Negative electrode reference diffusivity [m2.s-1]\": 3.3e-14,\n", " \"Negative particle diffusivity activation energy [J.mol-1]\": 2.5e4,\n", " },\n", " check_already_exists=False,\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Then we generate some synthetic data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2024-03-28T15:29:32.590471Z", "start_time": "2024-03-28T15:29:32.348737Z" } }, "outputs": [], "source": [ "parameters_for_data = parameter_values.copy()\n", "parameters_for_data[\"Ambient temperature [K]\"] = \"[input]\"\n", "experiment = pybamm.Experiment(\n", " [\"Discharge at C/3 for 10 minutes\", \"Rest for 15 minutes\"], period=\"10 seconds\"\n", ")\n", "sim = pybamm.Simulation(\n", " model, parameter_values=parameters_for_data, experiment=experiment\n", ")\n", "data_dict = {}\n", "sols = []\n", "for T in [287.15, 298.15, 318.15]:\n", " sim.solve(inputs={\"Ambient temperature [K]\": T})\n", " sols.append(sim.solution)\n", " data_dict[T] = pd.DataFrame(\n", " {x: sim.solution[x].entries for x in [\"Time [s]\", \"Current [A]\", \"Voltage [V]\"]}\n", " )" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "We can look at the data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2024-03-28T15:29:32.803038Z", "start_time": "2024-03-28T15:29:32.591112Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1c51f8830bd143b4a18299090d35ef8c", "version_major": 2, "version_minor": 0 }, "text/plain": [ "interactive(children=(FloatSlider(value=0.0, description='t', max=1500.0, step=15.0), Output()), _dom_classes=…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pybamm.dynamic_plot(\n", " sols, [\"Current [A]\", \"Voltage [V]\"], labels=[f\"{T} K\" for T in data_dict]\n", ")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now we set up which parameters are to be fitted, and call the pre-defined `CurrentDriven` objective function, which solves the model with the current from the data and calculates the error between voltage from the model and the data. We can set up an objective for the data collected at each temperature, passing in the temperature using the `custom_parameters` argument of the objective function. Any values provided in the `custom_parameter` dictionary are passed the simulation in that objective only." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2024-03-28T15:29:34.883657Z", "start_time": "2024-03-28T15:29:32.809351Z" } }, "outputs": [], "source": [ "# In this example we fit both the reference diffusivity and activation energy in\n", "# the negative electrode\n", "parameters = {\n", " \"Negative electrode reference diffusivity [m2.s-1]\": iwp.Parameter(\n", " \"D_ref\", initial_value=1e-13, bounds=(1e-15, 1e-12)\n", " ),\n", " \"Negative particle diffusivity activation energy [J.mol-1]\": iwp.Parameter(\n", " \"E_D_s\", initial_value=1e4, bounds=(1e3, 1e5)\n", " ),\n", "}\n", "\n", "# We loop over the data at different temperatures, and create a separate objective\n", "# for each temperature, storing them in a dictionary\n", "objectives = {}\n", "for T, data in data_dict.items():\n", " objectives[f\"{T} K\"] = iwp.objectives.CurrentDriven(\n", " data, options={\"model\": model}, custom_parameters={\"Ambient temperature [K]\": T}\n", " )\n", "\n", "# We then create a data fit object, passing in the objectives and the parameters. This\n", "# will fit the parameters to all data simultaneously\n", "current_driven = iwp.DataFit(objectives, parameters=parameters)\n", "\n", "# make sure we're not accidentally initializing with the correct values by passing\n", "# them in\n", "params_for_pipeline = {k: v for k, v in parameter_values.items() if k not in parameters}\n", "\n", "params_fit = current_driven.run(params_for_pipeline)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Let's look at the results" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2024-03-28T15:29:34.887228Z", "start_time": "2024-03-28T15:29:34.884232Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Negative electrode reference diffusivity [m2.s-1]\n", "True parameter value: 3.300e-14\n", "Fitted parameter value: 3.295e-14\n", "Negative particle diffusivity activation energy [J.mol-1]\n", "True parameter value: 2.500e+04\n", "Fitted parameter value: 2.476e+04\n" ] } ], "source": [ "for parameter in parameters:\n", " print(parameter)\n", " print(f\"True parameter value: {parameter_values[parameter]:.3e}\")\n", " print(f\"Fitted parameter value: {params_fit[parameter]:.3e}\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2024-03-28T15:29:35.164484Z", "start_time": "2024-03-28T15:29:34.889071Z" } }, "outputs": [ { "data": { "image/png": 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "_ = current_driven.plot_fit_results()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-03-28T15:29:35.190449Z", "start_time": "2024-03-28T15:29:35.184521Z" } }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "bppenv", "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": "3.11.9" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "938a56cf8cc78a970178b6cd91dbc2084cfe03b4ddf365fda3eb6d44738b4092" } } }, "nbformat": 4, "nbformat_minor": 2 }