diff --git a/doc/notebooks/ntc_voltage_to_temperature.ipynb b/doc/notebooks/ntc_voltage_to_temperature.ipynb new file mode 100644 index 0000000..33104b3 --- /dev/null +++ b/doc/notebooks/ntc_voltage_to_temperature.ipynb @@ -0,0 +1,96 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f6b0a4d1", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as pp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "12995d2d", + "metadata": {}, + "outputs": [], + "source": [ + "B = 4125\n", + "v_r1 = np.arange(0.02, 3.3, 0.02)\n", + "r1 = 10.0e3\n", + "ln_r_nom = np.log(47.0e3)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d801afad", + "metadata": {}, + "outputs": [], + "source": [ + "r_ntc = (3.3 - v_r1) * r1 / v_r1\n", + "ln_r_ntc = np.log(r_ntc)\n", + "temp_k = 1.0 / ((ln_r_ntc - ln_r_nom) / B + 1 / (25+273.15))\n", + "temp_c = temp_k - 273.15" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "bda5dca3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pp.plot(temp_c, v_r1)\n", + "pp.ylim([0,3.3])\n", + "pp.xlim([0,200])\n", + "pp.ylabel(\"Spannung\")\n", + "pp.xlabel(\"Temperatur\")\n", + "pp.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1cd7abc8", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}