{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Data_Point</th>\n",
       "      <th>Date_Time</th>\n",
       "      <th>Test_Time(s)</th>\n",
       "      <th>Step_Time(s)</th>\n",
       "      <th>Cycle_Index</th>\n",
       "      <th>Step_Index</th>\n",
       "      <th>Current(A)</th>\n",
       "      <th>Voltage(V)</th>\n",
       "      <th>Power(W)</th>\n",
       "      <th>Charge_Capacity(Ah)</th>\n",
       "      <th>Discharge_Capacity(Ah)</th>\n",
       "      <th>Charge_Energy(Wh)</th>\n",
       "      <th>Discharge_Energy(Wh)</th>\n",
       "      <th>ACR(Ohm)</th>\n",
       "      <th>dV/dt(V/s)</th>\n",
       "      <th>Internal_Resistance(Ohm)</th>\n",
       "      <th>dQ/dV(Ah/V)</th>\n",
       "      <th>dV/dQ(V/Ah)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>01/19/2023 15:11:06.814</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.251</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>1.03530</td>\n",
       "      <td>0.00014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.72390</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.312600e-08</td>\n",
       "      <td>30188000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>01/19/2023 15:11:07.064</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.501</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>1.25080</td>\n",
       "      <td>0.00016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.72417</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.097700e-08</td>\n",
       "      <td>24404000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>01/19/2023 15:11:07.064</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.501</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00013</td>\n",
       "      <td>1.25080</td>\n",
       "      <td>0.00016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.72417</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.097700e-08</td>\n",
       "      <td>24404000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>01/19/2023 15:11:07.448</td>\n",
       "      <td>0.885</td>\n",
       "      <td>0.251</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.74485</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.79597</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>01/19/2023 15:11:07.698</td>\n",
       "      <td>1.134</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.65179</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Data_Point                Date_Time  Test_Time(s)  Step_Time(s)  \\\n",
       "0           1  01/19/2023 15:11:06.814         0.250         0.251   \n",
       "1           2  01/19/2023 15:11:07.064         0.501         0.501   \n",
       "2           3  01/19/2023 15:11:07.064         0.501         0.501   \n",
       "3           4  01/19/2023 15:11:07.448         0.885         0.251   \n",
       "4           5  01/19/2023 15:11:07.698         1.134         0.500   \n",
       "\n",
       "   Cycle_Index  Step_Index  Current(A)  Voltage(V)  Power(W)  \\\n",
       "0            1           1     0.00013     1.03530   0.00014   \n",
       "1            1           1     0.00013     1.25080   0.00016   \n",
       "2            1           1     0.00013     1.25080   0.00016   \n",
       "3            1           2     0.00000     0.74485   0.00000   \n",
       "4            1           2     0.00000     0.65179   0.00000   \n",
       "\n",
       "   Charge_Capacity(Ah)  Discharge_Capacity(Ah)  Charge_Energy(Wh)  \\\n",
       "0                  0.0                     0.0                0.0   \n",
       "1                  0.0                     0.0                0.0   \n",
       "2                  0.0                     0.0                0.0   \n",
       "3                  0.0                     0.0                0.0   \n",
       "4                  0.0                     0.0                0.0   \n",
       "\n",
       "   Discharge_Energy(Wh)  ACR(Ohm)  dV/dt(V/s)  Internal_Resistance(Ohm)  \\\n",
       "0                   0.0       NaN     1.72390                       NaN   \n",
       "1                   0.0       NaN     0.72417                       NaN   \n",
       "2                   0.0       NaN     0.72417                       NaN   \n",
       "3                   0.0       NaN    -0.79597                       NaN   \n",
       "4                   0.0       NaN         NaN                       NaN   \n",
       "\n",
       "    dQ/dV(Ah/V)  dV/dQ(V/Ah)  \n",
       "0  3.312600e-08   30188000.0  \n",
       "1  4.097700e-08   24404000.0  \n",
       "2  4.097700e-08   24404000.0  \n",
       "3           NaN          NaN  \n",
       "4           NaN          NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('2023-01-19_Katarina_pulsed_05-1s_formation_C3D5_Cell106_Channel_52_Wb_1.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = [15, 7]\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1.plot(data['Test_Time(s)'], data['Current(A)'], '-b', label='current')\n",
    "ax1.set_xlabel('Time / s')\n",
    "ax1.set_ylabel('Current / A')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.plot(data['Test_Time(s)'], data['Voltage(V)'], '-r', label='potential')\n",
    "ax2.set_ylabel('Voltage / V')\n",
    "\n",
    "handles,labels = [],[]\n",
    "for ax in fig.axes:\n",
    "    for h,l in zip(*ax.get_legend_handles_labels()):\n",
    "        handles.append(h)\n",
    "        labels.append(l)\n",
    "\n",
    "plt.legend(handles,labels)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = [10, 7]\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1.scatter(data['Test_Time(s)'], data['Current(A)'], s=6, label='current')\n",
    "ax1.set_xlabel('Time / s')\n",
    "ax1.set_ylabel('Current / A')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.scatter(data['Test_Time(s)'], data['Voltage(V)'], s=6, c='red', label='potential')\n",
    "ax2.set_ylabel('Voltage / V')\n",
    "\n",
    "handles,labels = [],[]\n",
    "for ax in fig.axes:\n",
    "    for h,l in zip(*ax.get_legend_handles_labels()):\n",
    "        handles.append(h)\n",
    "        labels.append(l)\n",
    "\n",
    "plt.legend(handles,labels)\n",
    "\n",
    "plt.xlim(10,20)\n",
    "plt.ylim(0.7,2.5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9, 2.6)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.set(rc={\"figure.figsize\":(10, 7)})\n",
    "sns.set(font_scale = 1.7)\n",
    "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1=sns.scatterplot(data=data, x=data['Test_Time(s)'], y=data['Current(A)'], s=30, label='current')\n",
    "ax1.set_xlabel('Time / s')\n",
    "ax1.set_ylabel('Current / A')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2=sns.scatterplot(data=data, x=data['Test_Time(s)'], y=data['Voltage(V)'], s=30, color='red', label='potential')\n",
    "ax2.set_ylabel('Voltage / V')\n",
    "\n",
    "handles,labels = [],[]\n",
    "for ax in fig.axes:\n",
    "    for h,l in zip(*ax.get_legend_handles_labels()):\n",
    "        handles.append(h)\n",
    "        labels.append(l)\n",
    "\n",
    "plt.legend(handles,labels)\n",
    "\n",
    "\n",
    "ax.set_xlim(10, 20)\n",
    "ax.set_ylim(0.9, 2.6)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15160\n",
      "15160\n",
      "15160\n",
      "15160\n",
      "\n",
      "\n",
      "[[0.00013, 0.00013, 0.00013], [0.00013, 0.00013, 0.00013]]\n",
      "[[0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0]]\n",
      "\n",
      "\n",
      "[[1.0353, 1.2508, 1.2508], [1.326, 1.4552, 1.4552]]\n",
      "[[0.74485, 0.65179, 0.60284, 0.57112, 0.57112], [0.91046, 0.81096, 0.75605, 0.71925, 0.71925]]\n"
     ]
    }
   ],
   "source": [
    "# Charge voltage drop\n",
    "\n",
    "step = list(data['Step_Index'])\n",
    "current = list(data['Current(A)'])\n",
    "voltage = list(data['Voltage(V)'])\n",
    "\n",
    "CC_charge_current_on = []\n",
    "CC_charge_current_off = []\n",
    "CC_charge_potential_on = []\n",
    "CC_charge_potential_off = []\n",
    "tempcurr = []\n",
    "tempvolt = []\n",
    "\n",
    "for i in range(len(current)):\n",
    "    if step[i]==1 or step[i]==2:\n",
    "        if current[i]!=current[i-1] and step[i]==1 and i>0:\n",
    "            CC_charge_current_off.append(tempcurr)\n",
    "            CC_charge_potential_off.append(tempvolt)\n",
    "            tempcurr=[]\n",
    "            tempvolt=[]\n",
    "        elif current[i]!=current[i-1] and step[i]==2 and i>0:\n",
    "            CC_charge_current_on.append(tempcurr)\n",
    "            CC_charge_potential_on.append(tempvolt)\n",
    "            tempcurr=[]\n",
    "            tempvolt=[]\n",
    "        tempcurr.append(current[i])\n",
    "        tempvolt.append(voltage[i])\n",
    "\n",
    "print(len(CC_charge_current_on))\n",
    "print(len(CC_charge_current_off))\n",
    "print(len(CC_charge_potential_on))\n",
    "print(len(CC_charge_potential_off))\n",
    "print('\\n')\n",
    "print(CC_charge_current_on[0:2])\n",
    "print(CC_charge_current_off[0:2])\n",
    "print('\\n')\n",
    "print(CC_charge_potential_on[0:2])\n",
    "print(CC_charge_potential_off[0:2])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pseudo IR drop\n",
    "\n",
    "IRdrop=[]\n",
    "\n",
    "for i in range(len(CC_charge_current_on)):\n",
    "    x = CC_charge_potential_on[i][-1] - CC_charge_potential_off[i][-1]\n",
    "    IRdrop.append(x)\n",
    "\n",
    "plt.plot(IRdrop)\n",
    "plt.xlabel('Number of cycles')\n",
    "plt.ylabel('pseudo IR drop / V')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of cycles: 15160\n",
      "\n",
      "\n",
      "IR drop at 0% state of charge: 0.67968\n",
      "IR drop at 2% state of charge: 0.1473\n",
      "IR drop at 5% state of charge: 0.10029999999999983\n",
      "IR drop at 10% state of charge: 0.07390000000000008\n",
      "IR drop at 20% state of charge: 0.03770000000000007\n",
      "IR drop at 50% state of charge: 0.021199999999999886\n",
      "IR drop at 70% state of charge: 0.01990000000000025\n",
      "IR drop at 90% state of charge: 0.022699999999999942\n",
      "IR drop at 95% state of charge: 0.024499999999999744\n"
     ]
    }
   ],
   "source": [
    "# Charging pseudo-IR drop\n",
    "\n",
    "print(f'Number of cycles: {len(IRdrop)}')\n",
    "print('\\n')\n",
    "print(f'IR drop at 0% state of charge: {IRdrop[0]}')\n",
    "print(f'IR drop at 2% state of charge: {IRdrop[round(len(IRdrop)*0.02)]}')\n",
    "print(f'IR drop at 5% state of charge: {IRdrop[round(len(IRdrop)*0.05)]}')\n",
    "print(f'IR drop at 10% state of charge: {IRdrop[round(len(IRdrop)*0.1)]}')\n",
    "print(f'IR drop at 20% state of charge: {IRdrop[round(len(IRdrop)*0.2)]}')\n",
    "print(f'IR drop at 50% state of charge: {IRdrop[round(len(IRdrop)*0.5)]}')\n",
    "print(f'IR drop at 70% state of charge: {IRdrop[round(len(IRdrop)*0.7)]}')\n",
    "print(f'IR drop at 90% state of charge: {IRdrop[round(len(IRdrop)*0.9)]}')\n",
    "print(f'IR drop at 95% state of charge: {IRdrop[round(len(IRdrop)*0.95)]}')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# IR drop\n",
    "\n",
    "IR_drop=[]\n",
    "\n",
    "for i in range(len(CC_charge_current_on)):\n",
    "    x = CC_charge_potential_on[i][-1] - CC_charge_potential_off[i][0]\n",
    "    IR_drop.append(x)\n",
    "\n",
    "plt.plot(IR_drop)\n",
    "plt.xlabel('Number of cycles')\n",
    "plt.ylabel('IR drop / V')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of cycles: 15160\n",
      "\n",
      "\n",
      "IR drop at 0% state of charge: 0.5059499999999999\n",
      "IR drop at 2% state of charge: 0.07210000000000027\n",
      "IR drop at 5% state of charge: 0.04420000000000002\n",
      "IR drop at 10% state of charge: 0.03410000000000002\n",
      "IR drop at 20% state of charge: 0.025599999999999845\n",
      "IR drop at 50% state of charge: 0.014399999999999746\n",
      "IR drop at 70% state of charge: 0.0129999999999999\n",
      "IR drop at 90% state of charge: 0.013099999999999667\n",
      "IR drop at 95% state of charge: 0.01330000000000009\n"
     ]
    }
   ],
   "source": [
    "# Charging IR drop\n",
    "\n",
    "print(f'Number of cycles: {len(IR_drop)}')\n",
    "print('\\n')\n",
    "print(f'IR drop at 0% state of charge: {IR_drop[0]}')\n",
    "print(f'IR drop at 2% state of charge: {IR_drop[round(len(IRdrop)*0.02)]}')\n",
    "print(f'IR drop at 5% state of charge: {IR_drop[round(len(IRdrop)*0.05)]}')\n",
    "print(f'IR drop at 10% state of charge: {IR_drop[round(len(IRdrop)*0.1)]}')\n",
    "print(f'IR drop at 20% state of charge: {IR_drop[round(len(IRdrop)*0.2)]}')\n",
    "print(f'IR drop at 50% state of charge: {IR_drop[round(len(IRdrop)*0.5)]}')\n",
    "print(f'IR drop at 70% state of charge: {IR_drop[round(len(IRdrop)*0.7)]}')\n",
    "print(f'IR drop at 90% state of charge: {IR_drop[round(len(IRdrop)*0.9)]}')\n",
    "print(f'IR drop at 95% state of charge: {IR_drop[round(len(IRdrop)*0.95)]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22152\n",
      "22152\n",
      "22152\n",
      "22152\n",
      "\n",
      "\n",
      "[[-8e-05, -8e-05, -8e-05], [-8e-05, -8e-05, -8e-05]]\n",
      "[[0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0]]\n",
      "\n",
      "\n",
      "[[3.5815, 3.5718, 3.5718], [3.5661, 3.5581, 3.5581]]\n",
      "[[3.5765, 3.5781, 3.579, 3.5794, 3.5794], [3.5648, 3.5669, 3.568, 3.5688, 3.5688]]\n"
     ]
    }
   ],
   "source": [
    "# Discharge voltage drop\n",
    "\n",
    "CC_discharge_current_on = []\n",
    "CC_discharge_current_off = []\n",
    "CC_discharge_potential_on = []\n",
    "CC_discharge_potential_off = []\n",
    "tempcurr = []\n",
    "tempvolt = []\n",
    "\n",
    "for i in range(len(current)):\n",
    "    if step[i]==7 or step[i]==8:\n",
    "        if current[i]!=current[i-1] and step[i]==7 and i>0 and len(tempcurr)>1 and len(tempvolt)>1:\n",
    "            CC_discharge_current_off.append(tempcurr)\n",
    "            CC_discharge_potential_off.append(tempvolt)\n",
    "            tempcurr=[]\n",
    "            tempvolt=[]\n",
    "        elif current[i]!=current[i-1] and step[i]==8 and i>0 and len(tempcurr)>1 and len(tempvolt)>1:\n",
    "            CC_discharge_current_on.append(tempcurr)\n",
    "            CC_discharge_potential_on.append(tempvolt)\n",
    "            tempcurr=[]\n",
    "            tempvolt=[]\n",
    "        tempcurr.append(current[i])\n",
    "        tempvolt.append(voltage[i])\n",
    "\n",
    "print(len(CC_discharge_current_on))\n",
    "print(len(CC_discharge_current_off))\n",
    "print(len(CC_discharge_potential_on))\n",
    "print(len(CC_discharge_potential_off))\n",
    "print('\\n')\n",
    "print(CC_discharge_current_on[0:2])\n",
    "print(CC_discharge_current_off[0:2])\n",
    "print('\\n')\n",
    "print(CC_discharge_potential_on[0:2])\n",
    "print(CC_discharge_potential_off[0:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pseudo IR drop discharge\n",
    "\n",
    "IRdrop_dis=[]\n",
    "\n",
    "for i in range(len(CC_discharge_current_on)):\n",
    "    x = CC_discharge_potential_on[i][-1] - CC_discharge_potential_off[i][-1]\n",
    "    IRdrop_dis.append(x)\n",
    "\n",
    "plt.plot(IRdrop_dis)\n",
    "plt.xlabel('Number of cycles')\n",
    "plt.ylabel('pseudo IR drop / V')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of cycles: 22152\n",
      "\n",
      "\n",
      "IR drop at 5% state of discharge: -0.005700000000000038\n",
      "IR drop at 10% state of discharge: -0.006099999999999994\n",
      "IR drop at 20% state of discharge: -0.00690000000000035\n",
      "IR drop at 50% state of discharge: -0.009700000000000042\n",
      "IR drop at 70% state of discharge: -0.0129999999999999\n",
      "IR drop at 90% state of discharge: -0.021500000000000075\n",
      "IR drop at 95% state of discharge: -0.027799999999999603\n",
      "IR drop at 98% state of discharge: -0.03730000000000011\n"
     ]
    }
   ],
   "source": [
    "# pseudo IR drop discharge\n",
    "\n",
    "print(f'Number of cycles: {len(IRdrop_dis)}')\n",
    "print('\\n')\n",
    "print(f'IR drop at 5% state of discharge: {IRdrop_dis[round(len(IRdrop_dis)*0.05)]}')\n",
    "print(f'IR drop at 10% state of discharge: {IRdrop_dis[round(len(IRdrop_dis)*0.1)]}')\n",
    "print(f'IR drop at 20% state of discharge: {IRdrop_dis[round(len(IRdrop_dis)*0.2)]}')\n",
    "print(f'IR drop at 50% state of discharge: {IRdrop_dis[round(len(IRdrop_dis)*0.5)]}')\n",
    "print(f'IR drop at 70% state of discharge: {IRdrop_dis[round(len(IRdrop_dis)*0.7)]}')\n",
    "print(f'IR drop at 90% state of discharge: {IRdrop_dis[round(len(IRdrop_dis)*0.9)]}')\n",
    "print(f'IR drop at 95% state of discharge: {IRdrop_dis[round(len(IRdrop_dis)*0.95)]}')\n",
    "print(f'IR drop at 98% state of discharge: {IRdrop_dis[round(len(IRdrop_dis)*0.98)]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# IR drop discharge\n",
    "\n",
    "IR_drop_dis=[]\n",
    "\n",
    "for i in range(len(CC_discharge_current_on)):\n",
    "    x = CC_discharge_potential_on[i][-1] - CC_discharge_potential_off[i][0]\n",
    "    IR_drop_dis.append(x)\n",
    "\n",
    "plt.plot(IR_drop_dis)\n",
    "plt.xlabel('Number of cycles')\n",
    "plt.ylabel('IR drop / V')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of cycles: 22152\n",
      "\n",
      "\n",
      "IR drop at 5% state of discharge: -0.0047000000000001485\n",
      "IR drop at 10% state of discharge: -0.00509999999999966\n",
      "IR drop at 20% state of discharge: -0.005600000000000271\n",
      "IR drop at 50% state of discharge: -0.007299999999999862\n",
      "IR drop at 70% state of discharge: -0.009100000000000108\n",
      "IR drop at 90% state of discharge: -0.011699999999999822\n",
      "IR drop at 95% state of discharge: -0.013199999999999878\n",
      "IR drop at 98% state of discharge: -0.015800000000000036\n"
     ]
    }
   ],
   "source": [
    "# IR drop discharge\n",
    "\n",
    "print(f'Number of cycles: {len(IR_drop_dis)}')\n",
    "print('\\n')\n",
    "print(f'IR drop at 5% state of discharge: {IR_drop_dis[round(len(IRdrop_dis)*0.05)]}')\n",
    "print(f'IR drop at 10% state of discharge: {IR_drop_dis[round(len(IRdrop_dis)*0.1)]}')\n",
    "print(f'IR drop at 20% state of discharge: {IR_drop_dis[round(len(IRdrop_dis)*0.2)]}')\n",
    "print(f'IR drop at 50% state of discharge: {IR_drop_dis[round(len(IRdrop_dis)*0.5)]}')\n",
    "print(f'IR drop at 70% state of discharge: {IR_drop_dis[round(len(IRdrop_dis)*0.7)]}')\n",
    "print(f'IR drop at 90% state of discharge: {IR_drop_dis[round(len(IRdrop_dis)*0.9)]}')\n",
    "print(f'IR drop at 95% state of discharge: {IR_drop_dis[round(len(IRdrop_dis)*0.95)]}')\n",
    "print(f'IR drop at 98% state of discharge: {IR_drop_dis[round(len(IRdrop_dis)*0.98)]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data['Test_Time(s)'], data['Charge_Capacity(Ah)'])\n",
    "plt.xlabel('Time / s')\n",
    "plt.ylabel('Charge capacity / Ah')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data['Test_Time(s)'], data['Discharge_Capacity(Ah)'])\n",
    "plt.xlabel('Time / s')\n",
    "plt.ylabel('Discharge capacity / Ah')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Charge capacity: 0.00038 Ah.\n",
      "Charge capacity: 0.38 mAh.\n"
     ]
    }
   ],
   "source": [
    "max_charge = data['Charge_Capacity(Ah)'].max()\n",
    "print(f'Charge capacity: {max_charge} Ah.')\n",
    "print(f'Charge capacity: {float(max_charge)*1000} mAh.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Discharge capacity: 0.00026 Ah.\n",
      "Discharge capacity: 0.25999999999999995 mAh.\n"
     ]
    }
   ],
   "source": [
    "max_charge = data['Discharge_Capacity(Ah)'].max()\n",
    "print(f'Discharge capacity: {max_charge} Ah.')\n",
    "print(f'Discharge capacity: {float(max_charge)*1000} mAh.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Charge capacity: 0.33 mAh.\n",
      "Discharge capacity: -0.26 mAh.\n"
     ]
    }
   ],
   "source": [
    "step = data['Step_Index']\n",
    "time = data['Test_Time(s)']\n",
    "current = data['Current(A)']\n",
    "\n",
    "charge_time = []\n",
    "charge_current = []\n",
    "discharge_time = []\n",
    "discharge_current = []\n",
    "for i in range(len(current)):\n",
    "    if step[i]==1 or step[i]==2 or step[i]==3 or step[i]==4:\n",
    "        charge_time.append(time[i])\n",
    "        charge_current.append(current[i])\n",
    "    elif step[i]==7 or step[i]==8:\n",
    "        discharge_time.append(time[i])\n",
    "        discharge_current.append(current[i])\n",
    "\n",
    "C=np.trapz(x=charge_time, y=charge_current)\n",
    "C=C*1000/3600\n",
    "print(f'Charge capacity: {round(C,2)} mAh.')\n",
    "\n",
    "D=np.trapz(x=discharge_time, y=discharge_current)\n",
    "D=D*1000/3600\n",
    "print(f'Discharge capacity: {round(D,2)} mAh.')"
   ]
  }
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