Examples/EISPad4/EISPad4.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "opposite-oliver",
   "metadata": {},
   "source": [
    "# PAD4 Measurement\n",
    "\n",
    "This notebook is an example of how to measure impedance on multiple cells in a stack in parallel with the [PAD4 card](https://zahner.de/products-details/addon-cards/pad4).\n",
    "\n",
    "The main channel is connected to the stack and the two PAD4 channels are each connected to one of the two cells.  \n",
    "For this example, the cells are each a parallel connection of a capacitor with a resistor and a series resistor.\n",
    "\n",
    "The impedance spectra are then imported into Python and plotted using [matplotlib](https://matplotlib.org/).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fe5df436",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "from thales_remote.connection import ThalesRemoteConnection\n",
    "from thales_remote.script_wrapper import PotentiostatMode,ScanStrategy,ScanDirection,FileNaming,Pad4Mode,ThalesRemoteScriptWrapper\n",
    "\n",
    "from zahner_analysis.file_import.ism_import import IsmImport\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.ticker import EngFormatter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b57f1d2",
   "metadata": {},
   "source": [
    "\n",
    "# Connect Python to the already launched Thales-Software"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "english-secretariat",
   "metadata": {},
   "outputs": [],
   "source": [
    "if __name__ == \"__main__\":\n",
    "    zenniumConnection = ThalesRemoteConnection()\n",
    "    zenniumConnection.connectToTerm(\"localhost\", \"ScriptRemote\")\n",
    "    \n",
    "    zahnerZennium = ThalesRemoteScriptWrapper(zenniumConnection)\n",
    "    zahnerZennium.forceThalesIntoRemoteScript()\n",
    "    \n",
    "    zahnerZennium.calibrateOffsets()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "described-fountain",
   "metadata": {},
   "source": [
    "# Setting the parameters for the measurement\n",
    "\n",
    "After the connection with Thales, the naming of the files of the measurement results is set.\n",
    "\n",
    "Measure EIS spectra with a sequential number in the file name that has been specified.\n",
    "Starting with number 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "static-bruce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'OK\\r'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "    zahnerZennium.setEISNaming(FileNaming.COUNTER)\n",
    "    zahnerZennium.setEISCounter(1)\n",
    "    zahnerZennium.setEISOutputPath(r\"C:\\THALES\\temp\\test1\")\n",
    "    zahnerZennium.setEISOutputFileName(\"spectra_cells\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "mature-times",
   "metadata": {},
   "source": [
    "Setting the parameters for the spectra."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "crucial-producer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'OK\\r'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "    zahnerZennium.setPotentiostatMode(PotentiostatMode.POTMODE_POTENTIOSTATIC)\n",
    "    zahnerZennium.setAmplitude(100e-3)\n",
    "    zahnerZennium.setPotential(0)\n",
    "    zahnerZennium.setLowerFrequencyLimit(1)\n",
    "    zahnerZennium.setStartFrequency(1000)\n",
    "    zahnerZennium.setUpperFrequencyLimit(10000)\n",
    "    zahnerZennium.setLowerNumberOfPeriods(2)\n",
    "    zahnerZennium.setLowerStepsPerDecade(5)\n",
    "    zahnerZennium.setUpperNumberOfPeriods(20)\n",
    "    zahnerZennium.setUpperStepsPerDecade(10)\n",
    "    zahnerZennium.setScanDirection(ScanDirection.START_TO_MAX)\n",
    "    zahnerZennium.setScanStrategy(ScanStrategy.SINGLE_SINE)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "likely-eating",
   "metadata": {},
   "source": [
    "# Setting up PAD4\n",
    "\n",
    "The individual PAD4 channels must be switched on with [setupPad4Channel()](https://doc.zahner.de/thales_remote/script_wrapper.html#thales_remote.script_wrapper.ThalesRemoteScriptWrapper.setupPad4Channel) and finally the general PAD4 must be allowed for impedance measurement with [enablePad4Global()](https://doc.zahner.de/thales_remote/script_wrapper.html#thales_remote.script_wrapper.ThalesRemoteScriptWrapper.enablePad4Global).\n",
    "\n",
    "By default, the PAD4 channel is set to a voltage channel with 4 V range.\n",
    "\n",
    "The input voltage range can be set with the parameter *voltageRange* of the method [setupPad4Channel()](https://doc.zahner.de/thales_remote/script_wrapper.html#thales_remote.script_wrapper.ThalesRemoteScriptWrapper.setupPad4Channel). **The input voltage range depends on the used cables and the used PAD4 card. This is only a factor for the software, nothing is switched.**\n",
    "\n",
    "Also it is possible to measure current with all PAD4 channels if external shunts are used. This can setup with [setupPad4ModeGlobal()](https://doc.zahner.de/thales_remote/script_wrapper.html#thales_remote.script_wrapper.ThalesRemoteScriptWrapper.setupPad4ModeGlobal) for all channels. The external shunt resistor is defined with the parameter *shuntResistor* of the method [setupPad4Channel()](https://doc.zahner.de/thales_remote/script_wrapper.html#thales_remote.script_wrapper.ThalesRemoteScriptWrapper.setupPad4Channel)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "atmospheric-letter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'OK\\r'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "    zahnerZennium.setupPad4Channel(1,1,1,voltageRange=4.0,shuntResistor=10e-3)\n",
    "    zahnerZennium.setupPad4Channel(1,2,1,voltageRange=4.0,shuntResistor=10e-3)\n",
    "    zahnerZennium.setupPad4ModeGlobal(Pad4Mode.VOLTAGE) # or Pad4Mode.CURRENT\n",
    "    zahnerZennium.enablePad4Global()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "organizational-animal",
   "metadata": {},
   "source": [
    "# Spectra measurement\n",
    "\n",
    "After setting the parameters, the measurement is started.  \n",
    "\n",
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Note:</b> If the potentiostat is set to potentiostatic before the impedance measurement and is switched off, the measurement is performed at the open circuit voltage/potential.\n",
    "</div>\n",
    "\n",
    "After the measurement the potentiostat is switched off."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "taken-installation",
   "metadata": {},
   "outputs": [],
   "source": [
    "    zahnerZennium.enablePotentiostat()\n",
    "    zahnerZennium.measureEIS()\n",
    "    zahnerZennium.disablePotentiostat()\n",
    "    zahnerZennium.setAmplitude(0)\n",
    "    zenniumConnection.disconnectFromTerm()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "durable-linux",
   "metadata": {},
   "source": [
    "# Importing the ism file\n",
    "\n",
    "Import the spectrum from the previous measurement.\n",
    "This was saved under the set path and name with the number expanded.  \n",
    "The files of the measurement results with PAD4 are numbered consecutively. The lowest number is the main channel of the potentiostat.  \n",
    "The measurement starts at 1 therefore the following path results: *\"C:\\THALES\\temp\\test1\\spectra_cells_0001_ser00.ism\"*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "crude-nepal",
   "metadata": {},
   "outputs": [],
   "source": [
    "    ismFileStack = IsmImport(r\"C:\\THALES\\temp\\test1\\spectra_cells_0001_ser00.ism\")\n",
    "    impedanceFrequenciesStack = ismFileStack.getFrequencyArray()\n",
    "    impedanceAbsoluteStack = ismFileStack.getImpedanceArray()\n",
    "    impedancePhaseStack = ismFileStack.getPhaseArray()\n",
    "    impedanceComplexStack = ismFileStack.getComplexImpedanceArray()\n",
    "    \n",
    "    ismFileCell1 = IsmImport(r\"C:\\THALES\\temp\\test1\\spectra_cells_0001_ser01.ism\")\n",
    "    impedanceFrequenciesCell1 = ismFileCell1.getFrequencyArray()\n",
    "    impedanceAbsoluteCell1 = ismFileCell1.getImpedanceArray()\n",
    "    impedancePhaseCell1 = ismFileCell1.getPhaseArray()\n",
    "    impedanceComplexCell1 = ismFileCell1.getComplexImpedanceArray()\n",
    "    \n",
    "    ismFileCell2 = IsmImport(r\"C:\\THALES\\temp\\test1\\spectra_cells_0001_ser02.ism\")\n",
    "    impedanceFrequenciesCell2 = ismFileCell2.getFrequencyArray()\n",
    "    impedanceAbsoluteCell2 = ismFileCell2.getImpedanceArray()\n",
    "    impedancePhaseCell2 = ismFileCell2.getPhaseArray()\n",
    "    impedanceComplexCell2 = ismFileCell2.getComplexImpedanceArray()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "formal-absence",
   "metadata": {},
   "source": [
    "# Displaying the measurement results\n",
    "\n",
    "The spectra are presented in the Nyquist representation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "abandoned-nepal",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "    figNyquist, (nyquistAxis) = plt.subplots(1, 1)\n",
    "    figNyquist.suptitle(\"Nyquist\")\n",
    "    \n",
    "    nyquistAxis.plot(np.real(impedanceComplexStack), -np.imag(impedanceComplexStack), marker=\"x\", markersize=5, label=\"Stack\")\n",
    "    nyquistAxis.plot(np.real(impedanceComplexCell1), -np.imag(impedanceComplexCell1), marker=\"x\", markersize=5, label=\"Cell 1\")\n",
    "    nyquistAxis.plot(np.real(impedanceComplexCell2), -np.imag(impedanceComplexCell2), marker=\"x\", markersize=5, label=\"Cell 2\")\n",
    "    \n",
    "    nyquistAxis.grid(which=\"both\")\n",
    "    nyquistAxis.set_aspect(\"equal\")\n",
    "    nyquistAxis.xaxis.set_major_formatter(EngFormatter(unit=\"$\\Omega$\"))\n",
    "    nyquistAxis.yaxis.set_major_formatter(EngFormatter(unit=\"$\\Omega$\"))\n",
    "    nyquistAxis.set_xlabel(r\"$Z_{\\rm re}$\")\n",
    "    nyquistAxis.set_ylabel(r\"$-Z_{\\rm im}$\")\n",
    "    nyquistAxis.legend(fontsize = \"large\")\n",
    "    figNyquist.set_size_inches(20, 8)\n",
    "    plt.show()\n",
    "    figNyquist.savefig(\"nyquist.svg\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.11.1"
  },
  "vscode": {
   "interpreter": {
    "hash": "5238573367df39f7286bb46f9ff5f08f63a01a80960060ce41e3c79b190280fa"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}