{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Fitting impedance spectra" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Import and initialize equivalent circuit(s)\n", "\n", "To begin we will import the Randles' circuit and a custom circuit from the impedance package. A full list of currently available circuits are available in the [documentation](https://impedancepy.readthedocs.io/en/latest/circuits.html)." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from impedance_extend.models.circuits import Randles, CustomCircuit" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The classes we just imported represent different equivalent circuit models. To actually use them we want to initialize a specific instance and provide an initial guess for the parameters and any other options.\n", "\n", "*E.g. for the randles circuit, one of the options is for a constant phase element (CPE) instead of an ideal capacitor.*" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "randles = Randles(initial_guess=[.01, .005, .001, 200, .1])\n", "randlesCPE = Randles(initial_guess=[.01, .005, .001, 200, .1, .9], CPE=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Defining the custom circuit works a little differently. Here we pass a string comprised of the circuit elements grouped either in series (separated with a `-`) or in parallel (using the form `p(X,Y)`). Each element can be appended with an integer (e.g. `R0`) or an underscore and an integer (e.g. `CPE_1`) to make keeping track of multiple elements of the same type easier." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "customCircuit = CustomCircuit(initial_guess=[.01, .005, .1, .005, .1, .001, 200],\n", " circuit='R_0-p(R_1,C_1)-p(R_2,C_2)-Wo_1')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As of version 0.4, you can now specify values you want to hold constant. For example," ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "customConstantCircuit = CustomCircuit(initial_guess=[None, .005, .1, .005, .1, .001, None],\n", " constants={'R_0': 0.02, 'Wo_1_1': 200},\n", " circuit='R_0-p(R_1,C_1)-p(R_2,C_2)-Wo_1')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Each of the circuit objects we create can be printed in order to see the properties that have been defined for that circuit." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Circuit string: R_0-p(R_1,C_1)-p(R_2,C_2)-Wo_1\n", "Fit: False\n", "\n", "Constants:\n", " R_0 = 2.00e-02 [Ohm]\n", " Wo_1_1 = 2.00e+02 [sec]\n", "\n", "Initial guesses:\n", " R_1 = 5.00e-03 [Ohm]\n", " C_1 = 1.00e-01 [F]\n", " R_2 = 5.00e-03 [Ohm]\n", " C_2 = 1.00e-01 [F]\n", " Wo_1_0 = 1.00e-03 [Ohm]\n", "\n" ] } ], "source": [ "print(customConstantCircuit)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Formulate data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Several convenience functions for importing data exist in the impedance_extendpreprocessing module, including one for reading simple `.csv` files where frequencies are stored in the first column, real parts of the impedance are in the second column, and imaginary parts of the impedance are in the third column." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from impedance_extend import preprocessing\n", "\n", "frequencies, Z = preprocessing.readCSV('../../../data/exampleData.csv')\n", "\n", "# keep only the impedance data in the first quandrant\n", "frequencies, Z = preprocessing.ignoreBelowX(frequencies, Z)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3a. Fit the equivalent circuits to a spectrum" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Each of the circuit classes has a `.fit()` method which finds the best fitting parameters.\n", "\n", "After fitting a circuit, the fit parameters rather that the inital guesses are shown when printing." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Circuit string: R_0-p(R_1,C_1)-p(R_2,C_2)-Wo_1\n", "Fit: True\n", "\n", "Constants:\n", " R_0 = 2.00e-02 [Ohm]\n", " Wo_1_1 = 2.00e+02 [sec]\n", "\n", "Initial guesses:\n", " R_1 = 5.00e-03 [Ohm]\n", " C_1 = 1.00e-01 [F]\n", " R_2 = 5.00e-03 [Ohm]\n", " C_2 = 1.00e-01 [F]\n", " Wo_1_0 = 1.00e-03 [Ohm]\n", "\n", "Fit parameters:\n", " R_1 = 6.79e-03 (+/- 1.08e-03) [Ohm]\n", " C_1 = 5.62e+00 (+/- 1.96e+00) [F]\n", " R_2 = 3.91e-03 (+/- 1.09e-03) [Ohm]\n", " C_2 = 1.36e+00 (+/- 2.61e-01) [F]\n", " Wo_1_0 = 5.88e-02 (+/- 1.25e-03) [Ohm]\n", "\n" ] } ], "source": [ "randles.fit(frequencies, Z)\n", "randlesCPE.fit(frequencies, Z)\n", "customCircuit.fit(frequencies, Z)\n", "customConstantCircuit.fit(frequencies, Z)\n", "\n", "print(customConstantCircuit)" ] }, { "cell_type": "markdown", "id": "8eb9ed7a", "metadata": {}, "source": [ "## 3b. Fit the equivalent circuits to a spectrum using GA and PSO" ] }, { "cell_type": "markdown", "id": "eb56f764", "metadata": { "lines_to_next_cell": 0 }, "source": [ "We can pass an additional `optimizations` parameter to the `.fit()` method. The `optimizations` could be a dict or a list of dict-s. \n", "\n", "* If optimizations is not passed, or optimizations=[] or {}, curve_fit is used.\n", "\n", "* If `optimizations` is a single dict, \n", " * It must include the key \"algorithm\" to indicate the algorithm to be use. \n", " * Other keys in the dict would specify algorithm options. \n", " * Eg : {\"algorithm\" : 'scipy_minimize', 'method' : ...} or {\"algorithm\" : 'pygad', 'gene_space' : ...}. \n", "* If `optimizations` is a list of dicts,\n", " * The individual dicts should follow the above specification. \n", " * The circuit fit would perform sequential optimization using the algorithms specified (for example it might be useful to run a gradient search following GA).\n", "* We can add `\"show_progress\" : True` to show progress (default=`True`) and `\"plot\" : True` (default=`False`) to plot optimizations dict\n", "* It is recommended to pass `scale` denoting the order of magnitude of the parameters in order to improve convergence.\n", " * Consider a p(R,C) or R-C circuit. \n", " * Suppose C-s is in μF while, R-s might be in ~0.1 ohms; we can pass [0.1,1e-6].\n", " * Internally the parameters are divided by scale during optimization.\n", "\n", " * For the following example, since initial guess is R_1 = 5.00e-03 [Ohm], C_1 = 1.00e-01 [F], R_2 = 5.00e-03 [Ohm], C_2 = 1.00e-01 [F], Wo_1_0 = 1.00e-03 [Ohm], the fitting function will infer a scale of [1e-2,10,1e-2,1e-1,1e-3].\n", " * Alternately, since our final result is R_1 = 6.79e-03 [Ohm], C_1 = 5.62e+00 [F], R_2 = 3.91e-03 [Ohm], C_2 = 1.36e+00 [F], Wo_1_0 = 5.88e-02 [Ohm], we might use scale=[1e-2,10,1e-3,1,1e-1]\n" ] }, { "cell_type": "code", "execution_count": null, "id": "fd301e17", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "fitting.py:280: UserWarning: 'scale' is recommeded for least_squares. Using scale from initial_guess.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Circuit string: R_0-p(R_1,C_1)-p(R_2,C_2)-Wo_1\n", "Fit: True\n", "\n", "Constants:\n", " R_0 = 2.00e-02 [Ohm]\n", " Wo_1_1 = 2.00e+02 [sec]\n", "\n", "Initial guesses:\n", " R_1 = 5.00e-03 [Ohm]\n", " C_1 = 1.00e-01 [F]\n", " R_2 = 5.00e-03 [Ohm]\n", " C_2 = 1.00e-01 [F]\n", " Wo_1_0 = 1.00e-03 [Ohm]\n", "\n", "Fit parameters:\n", " R_1 = 6.79e-03 (+/- 0.00e+00) [Ohm]\n", " C_1 = 5.62e+00 (+/- 0.00e+00) [F]\n", " R_2 = 3.91e-03 (+/- 0.00e+00) [Ohm]\n", " C_2 = 1.36e+00 (+/- 0.00e+00) [F]\n", " Wo_1_0 = 5.88e-02 (+/- 0.00e+00) [Ohm]\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "fitting.py:280: UserWarning: 'scale' is recommeded for pygad. Using scale from initial_guess.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "647fe0c20c714253a481856d6a0e794e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Circuit fit using pygad (default method): 0%| | 0/1000 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Circuit string: R_0-p(R_1,C_1)-p(R_2,C_2)-Wo_1\n", "Fit: True\n", "\n", "Constants:\n", " R_0 = 2.00e-02 [Ohm]\n", " Wo_1_1 = 2.00e+02 [sec]\n", "\n", "Initial guesses:\n", " R_1 = 5.00e-03 [Ohm]\n", " C_1 = 1.00e-01 [F]\n", " R_2 = 5.00e-03 [Ohm]\n", " C_2 = 1.00e-01 [F]\n", " Wo_1_0 = 1.00e-03 [Ohm]\n", "\n", "Fit parameters:\n", " R_1 = 8.61e-03 (+/- 0.00e+00) [Ohm]\n", " C_1 = 3.24e+00 (+/- 0.00e+00) [F]\n", " R_2 = 2.09e-03 (+/- 0.00e+00) [Ohm]\n", " C_2 = 1.50e+00 (+/- 0.00e+00) [F]\n", " Wo_1_0 = 5.88e-02 (+/- 0.00e+00) [Ohm]\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "fitting.py:280: UserWarning: 'scale' is recommeded for pyswarms. Using scale from initial_guess.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e49e63e8e0f14619a4cd7cee7a52f9de", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Circuit fit using pyswarms (default method): 0%| | 0/1000 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "fitting.py:280: UserWarning: 'scale' is recommeded for pyswarms. Using scale from initial_guess.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f8ff7b6de85b4568ad7bac48d5907666", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Circuit fit using pyswarms (default method): 0%| | 0/1000 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "# GA\n", "optimizations={'algorithm':'pygad', 'plot' : False}\n", "_, optobj = customConstantCircuit.fit(frequencies, Z, optimizations=optimizations, bounds=bounds)\n", "history = optobj.best_solutions_fitness\n", "plt.plot(1/np.array(history))\n", "plt.xlabel('Generation')\n", "plt.ylabel('Cost function')\n", "plt.show()\n", "\n", "# PSO\n", "optimizations={'algorithm':'pyswarms'}\n", "_,optobj = customConstantCircuit.fit(frequencies, Z, optimizations=optimizations, bounds=bounds)\n", "history = optobj.cost_history\n", "plt.plot(history)\n", "plt.xlabel('Generation')\n", "plt.ylabel('Cost function')\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4a. Predict circuit model and visualize with matplotlib" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from impedance_extend.visualization import plot_nyquist\n", "\n", "f_pred = np.logspace(5,-2)\n", "\n", "randles_fit = randles.predict(f_pred)\n", "randlesCPE_fit = randlesCPE.predict(f_pred)\n", "customCircuit_fit = customCircuit.predict(f_pred)\n", "customConstantCircuit_fit = customConstantCircuit.predict(f_pred)\n", "\n", "fig, ax = plt.subplots(figsize=(5,5))\n", "\n", "plot_nyquist(Z, ax=ax)\n", "plot_nyquist(randles_fit, fmt='-', ax=ax)\n", "plot_nyquist(randlesCPE_fit, fmt='-', ax=ax)\n", "plot_nyquist(customCircuit_fit, fmt='-', ax=ax)\n", "plot_nyquist(customConstantCircuit_fit, fmt='-', ax=ax)\n", "\n", "ax.legend(['Data', 'Randles', 'Randles w/ CPE', 'Custom Circuit', 'Custom Circuit w/ Constant R0 and W1_1'])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4b. Or use the convenient plotting method included in the package" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "visualization.py:39: UserWarning: linestyle is redundantly defined by the 'linestyle' keyword argument and the fmt string \".-\" (-> linestyle='-'). The keyword argument will take precedence.\n", "visualization.py:39: UserWarning: marker is redundantly defined by the 'marker' keyword argument and the fmt string \".-\" (-> marker='.'). The keyword argument will take precedence.\n" ] }, { "data": { "image/png": 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", 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "randles.plot(f_data=frequencies, Z_data=Z, kind='nyquist')\n", "randlesCPE.plot(f_data=frequencies, Z_data=Z, kind='nyquist')\n", "customCircuit.plot(f_data=frequencies, Z_data=Z, kind='nyquist')\n", "customConstantCircuit.plot(f_data=frequencies, Z_data=Z, kind='nyquist')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Custom circuit elements using the @element decorator" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from impedance_extend.models.circuits.elements import element\n", "\n", "@element(1, units=[\"hands\"])\n", "def H(p, f):\n", " \"\"\" A 'pointless' circuit element\n", " \n", " Parameters\n", " ----------\n", " p : list of numeric\n", " a list of parameters, e.g. p[0] is used as the radius below\n", " f : list of numeric\n", " a list of frequencies in Hz\n", " \n", " Returns\n", " -------\n", " Z : array of complex\n", " custom elements should return an array of complex impedance values\n", " \"\"\"\n", " omega = 2*np.pi*np.array(f)\n", " return p[0]*np.cos(omega) + p[0]*1j*np.sin(omega)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Once we've defined our custom element, it can be used in a CustomCircuit" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "circuits.py:145: UserWarning: Simulating circuit based on initial parameters\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "customElementCircuit = CustomCircuit(initial_guess=[0.1, 0.1], circuit='R_0-H_1')\n", "\n", "f_pred = np.linspace(0, 1)\n", "\n", "customElementCircuit_fit = customElementCircuit.predict(f_pred)\n", "\n", "fig, ax = plt.subplots(figsize=(5,5))\n", "plot_nyquist(customElementCircuit_fit, fmt='-.', ax=ax)\n", "plt.show()" ] } ], "metadata": { "jupytext": { "formats": "ipynb,py:percent" }, "kernelspec": { "display_name": "impedance_py", "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": "3.12.6" } }, "nbformat": 4, "nbformat_minor": 4 }