{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Battery life model library\n", "Example notebook demonstrating how to use the battery life models in Python.\n", "\n", "First examples use the Kokam NMC111|Gr 75Ah battery life model. The battery modeled here is a high-power cell with long cycle life. Because nominal cell resistance is low, the relative change of resistance at end-of-life is quite high compared to other cell designs (~300% increase in cell resistance at 80% capacity if not more). Fade rates can be changed in the code to accomodate other cell models. Documentation is provided in the life model class. See https://ieeexplore.ieee.org/abstract/document/7963578 for the aging test details and results used to parameterize this model." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from nmc111_gr_Kokam75Ah_2017 import Nmc111_Gr_Kokam75Ah_Battery" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To run, the life model needs timeseries data: the time in seconds since beginning-of-life of the battery, the state-of-charge of the battery (0 to 1), and the ambient temperature (or battery temperature, if you have a thermal model)." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "years = 10\n", "hours = years * 365 * 24\n", "t_hours = np.arange(hours + 1)\n", "soc = np.tile(\n", " np.array(\n", " [1, 1, 1, 1, 1, 1,\n", " 0.4, 0.4, 0.6, 0.6, 1, 1,\n", " 0.9, 0.8, 0.7, 0.6, 0.5, 0.4,\n", " 0.3, 0.2, 0.2, 0.4, 0.6, 0.8]\n", " ),\n", " int(len(t_hours/24))\n", ")\n", "soc = np.append(soc, 1)\n", "\n", "TdegC = (\n", " np.tile(np.concatenate([np.linspace(25, 35, 12), np.linspace(35, 25, 12)]),\n", " int(len(t_hours)/24))\n", " + np.tile(np.concatenate([np.linspace(-5, 5, 24*182), np.linspace(5, -5, 24*183)]),\n", " int(len(t_hours)/(24*365)))\n", ")\n", "TdegC = np.append(TdegC, 20)\n", "\n", "t_secs = t_hours * 3600\n", "\n", "fig, ax1 = plt.subplots()\n", "ax1.plot(t_hours[:25], soc[:25], '-k')\n", "ax1.set_xlabel('Time (hours)')\n", "ax1.set_ylabel('State-of-charge')\n", "\n", "ax2 = ax1.twinx()\n", "ax2.plot(t_hours[:25], TdegC[:25], '-r')\n", "ax2.tick_params(axis='y', labelcolor='r')\n", "ax2.set_ylabel('Temperature (Celsius)', color='r')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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OP5BkLQADAfQA0BrAySRbB/1QcfJ1DE1KVv2YLIGx1xLc2jFq/OPsR5MrizLwzWh3xbOXmOlKF8fFcuX3yWoe9GaZ6ciAmZT5ggaC5GkkpwK4CsAmAOYBWA7g9wDGkRxGcvtCx0uGbIpFHW8L+gk7AljgdZb7GcCTAHoFPDZWXpxWvvbLxIS5ei56clrZ5/ji22TVUaz60cyqKY6LZdJ0nOLQU7omJvVeXURVRMhluYE6imIriM0AdBaRP4jIv0RkkIjcKyIXisheAO4A0KrYyUnWIjkNGcMyTkQmeS+dT3IGySEkt/I5tAmAXKnHxd4+vzH6kqwhWbNiRflWOp9+MbTR/L/hU2OYSbIYOT38RSAprVUL8elX4dNVH3n3EwUzsZu/PV9+QeLLhtI+oxJHt8W+Bla5BQ2EiAwUkYIRQxGZJiKvFzu5iKwVkXYAmgLoSLINgPsBtETG7bQUwG0+h9LvdAXGeFBEqkWkuqqqqth0EkXSRPry+VeEO6Y4RO9Mcl8EV0+SNY0AYMHy8Be+H38xkwkU1w2IqXhCObVJUQkSg7iZ5BYk65B8neSXJE8JM4iIrATwJoDuIrLMMxy/AngIGXdSPosBNMt53hRA8spcy+Cu18K1RCzEggQJjN0Vsg1kXMT1hX/y/fD9DUwR18Xy2heSY+Ci9J/wY+4X8fVet50gWUyHisgqAEcgc+HeGcDlpQ4iWUWyvvd4EwDdAMwl2SjnbccA8HMmvg+gFckWJOsCOAnAyABzTQ3DJ8WjEPrYe+FcGEnNtsglbEP6n9ZUVm47EJ8xfndhcrK/4lqtmXD1mCKIgajj/ewJ4AkRCfrtawRgPMkZyFzwx4nIywBuJjnT298FwCUAQLIxydEAICJrAJwPYAyAOQCeFhHttypxXixNifY9/M6iUO9ftip5gmL53Buyf/DVzycr4OnH6yEzz5LuzjPJZ1+Hq9WJIxPSFLUDvOclknMB/ADgXJJVAEo6yEVkBoD2Pvt7F3j/EmSMUPb5aAAbpMDqJE6dm/+u+B9aNawX2/lUcf7j8QXU16z9FbVr6a/FDKtw+tzU6LIPtnDDyx/i4N0amp5GSZavii+2NmrGUhy+Z6PSbzTMUzG6Hn/8ZS02rlMrtvOVouS3V0SuBLAvgGoR+QXAdzCUcqqb04dOju1cN0TUoNdNTZk9FXKZGKL4LC0SBr+E+BxxpgIvipBBZYI7YoqtAcAlT02L7VwqibPi/AXNLVeDBKn/DOBIAH/yHh8H4FDVE7OBJTF+gf8T4q7WlIZS3PwtRH+FT8pQNLWJMJXcSRXpy2dtCPdpuY2scvk5JTcVYYjSx7scgqz/987Z9gdwHYCjFM6p4pn1ebwVrqZUYcPoKp3xcDJF+vIJ8wV+c178dTsmKFffSAcfxlw1npYVbymCuJguyNnOQiauUFf91CqXP9z/TqznK7frmA4+idlFElTeJA1ZW2GZsXhlrOe7rYw+B7qIOyh/Y0L7vIQlSgTxe5SooHbYRdDucGnqyfx0wMDg1E/ji7mY5puA2TLXvpic2oW4GDk93jKqwQFbtSb9BiRIDOIlkiO97WVkNJleVD81s6gQA4uquqmLMHES2wnamP6sR9LTiP6egOm908vsiRAVFRdL21NIJyyIX4ctTMynXIKsIG5FRg7jNgA3AjjAy2xKNaNnxt/39q35dl+Az3ksfs2ocvs7qMbUBUbFxXLIxGB3taZQoZ90zQt6g7ZhuXVs/O63ZTGmCpciSAzirZxtoogkP2k8AHEIiuVz4RMfxH5O2wmSlpfU1qqFCNJR75maivgarYcK3SkVN3JxomK1dtYj+iq5i8l9T/B+ria5KmdbTdKMkHwF8OX/kl/JnEuQDlxhq71tZ2CArJ4rnktHimuWjwKolZparam6ATEVX9DZx6OYmuvvvZ/1RGSLnK2eiGyhbYYVxkOKtP3nWSwwNsBQRoiqL/izEbva6eBnRbpTNvdnUPX3MNVwSSdBgtQtSW7kPT6I5IVZET5H/KhqBF/qLj3p2RZ+lGojWomFVvcqqlkot7+1SlQZr6DZgUkmSJD6OQBrSe4EYDCAFgAeVzqrFGNKtK9UBeuKlLm2AOCeN4rLOlw3svxmULYxdnZxn/zdhiTV00ipBAzbsxaDEMRA/Oqpqx4D4E4RuQQZpdbUorKHwkcRGqzo4LKnpys7dxh9ojh5p8QKIk7ZB1u4/mU7jZ7K2FocbYFVEFf/CT90JXYEMRC/kDwZwKkAXvb21Sny/sRzzmPqlo5/t7RI6W2FfbPfLpLeqzOnWyfFjOIKhb2FF39jZ1pxXA2w/LBVtK//aHUCnbriXEEMxOnIqLn2F5GPSbYA8JjaaZlF5QqimK9WVQDRNH99rnDK8OeWXtDKpVgaq4oUahsopk/0aMjGVWFI6T1GUXQlBQSpg/hQRC4UkSe85x+LyAD1U6s8gqQKlkNcbSbDUuyOuc+wdIj05VPMCIz7MFxzn6QwcLx9TYjmK/5OmXKf6qJYHcRMkjN8tmw3uKKQ3JjkZJLTSc4m2c/bfwvJud65ni+UEUVykTfWNJIV0ePvyHsnKD2/jaJ98xX3zP72B/9AYRqztkoxZ6natMw7XrNPtO9+xZ3z+iekz0tUiq0gjkCmD0T+lt1fip8AdBWRtgDaAehOshOAcQDaiMieAD4CcFWRc3QRkXYiUh1gvMSj+ppVKLZiamWhg0KifTMWf6t5JvooVJB2rcW1CqoYMVVtALtQ+nhabkCKFcp9kt28Xa28x8sBlEx6lgzZ28M63iYiMtbLigKA9wA0jT79+Cl0xxknKoQAy+G9BDWeD0uhQGGaG88XSmWNs1ugbXxlWZr2uxq+UzoSPIIUyp0F4FkA//Z2NQXwQpCTk6xFchoyRmWciEzKe8sZAF4pcLgAGEtyCsm+RcboS7KGZM2KFeW7UMI2f4+CbY1iTtfQrOczyzrGLVtl1wUlTmyTLhlTojYjDq7S3GmtFHcqzNrKskSDEGaQLKbzAHQGsAoARGQ+gG2DnFxE1opIO2SMSkeSbbKvkbwawBoAwwsc3llEOgDoAeA8kgcUGONBEakWkeqqqqog0yrKpQrrAbJcbGlankqe9xHtS5tIXz5+2XC25uyr5PqX1NdmjLUs8K+jslxHF8YgBuInEfnNJ0KyNjJ394ERkZUA3gTQ3TvHqcjEMv4kBZx1IrLE+7kcwPMAOoYZM2noEjIz5Ru93afr2DMKC4ls4P43NwyQpv3mwC8QbkryXVfauCl1BNUJHkAwA/EWyb8B2ITkIQCeAfBSqYNIVmUzlEhuAqAbgLkkuwP4K4CjRMTX70ByM5L1so8BHAog1RG2xxTmiecyT3HaXxjS3tnsuakb1kKYil3q6qF8tUU1Hn6/fxXM/Dy9CQ9BDMSVAFYAmAngbACjAVwT4LhGAMZ7KbHvIxODeBnAvQDqARjnpbA+AAAkG5Mc7R3bEMAEktMBTAYwSkReDfG5EoffHbYKhgRslZgm3snr6lUpDedz8VvNqGDqpyu1jBMEXXGJPsPSm/BQu9ALJKsAVInIhwAe8jZ4cYQGyBiNgojIDADtffbvVOD9SwD09B4vBNA22EdIJmt/FdT6HbWP+3TNYtx83Lpfbdr6T/hx52vzsd9ODX57/q/R6W84/8rMpeixxzrJtNs03YBUIvnfoVU/Jl+kL0uxFcQ9APyivk0A3KVmOmYJ0gksLlRXTQdFp0vAlJTI5EXrBwxtb80ZByq6t0VBZ0r3CE0upVLo7BaouoapmIHYQ0Teyt8pImMA7KluSubQKfplix7PmNn6sj9yK7nTKtKXT65R/EZjR7XlCgUBw3DPG2r6T/ihIwMxCDdoVNRVrUhczEAUU2xNpZrrNAX9YwvxQY6vtlJ84n95Zt0XWGfjdZM8lZOpdc2Lqc6z+I3c/+fBFRLzMpUdqFrevZiBmE+yZ/5Okj0AqGl7VqH8d4U+1xZgTlojt0q9ErpxAevLW4yasdTgTPRxlwVNiT79Sm9hZlq7ExYzEJcAuJPkwyQv8LZhyMQfLtIzvcrg6IETtY73xtzlWsfzQ3dqYLa7V1o0csKwQHOTKp1upUIMVNRatRDXWRLziZtiWkwfAdgDwFsAmnvbWwD29F5zxMQPmiuKz3t8KoD0VzLn8rjnq537hR3JATrI6hPZErDWyVOaizCfmJzOos9ict8UkZ9EZKiIXOZtQ0Tkx9z36JmmelYbSE3TVT1diJpF6RVvy+emVzOprZXi2gLWyW9PXJBeMcZ8lq82G9uqWaReYiMflTHMYi6m8Z5bafvcnSTrkuzquZtOVTYzzZjolaBDGLAYpwzO105Uj27f8AbjWyYaqJLH3jPbc/vNefpdmVcW6V6oA92uLUBtm9liBqI7gLUAniC5hOSHJD8GMB/AyQDuEJGHlc1MM+c//oH2MS9/tmTfpdTx7JTPKsq1BWRqXsZqUDS1DRPNdEzH18YbUGpWqcZcsJLacyXdB+A+knWQqZ7+wRPec8SEKTeTqWDt3W8sQLOtNzUytikGjl+AN+aYTwzQyazPv9UiJueHqRobU6J9Kgt8CxqIXETkFwCVkaOnmacNKZp+qLj9ZDFMrZxMGcUXpy0xMi5g7qJlshDUVEX1BxrrqHQRRKzPoZABr5jRBRr0dmUUMOXypoU9uVXz0NtmSpZMtnQ1dQOioz+DbpyBqFD8GvikndOHpu8LXIobDd2AVCI62hXrJpCBILkDyW7e402yvRrSwidf6a1kdjgcjjhRpY6gtCd1UrBFOM/hcDii8Mi7i5ScV2lP6qRQSYVEDocjfahyJSrrSU1yY5KTSU4nOZtkP2//1iTHkZzv/dyqwPHdSc4juYDklUE/kMPhcDjiQVlPagA/AegqIm0BtAPQnWQnZFqYvi4irQC87j1fD5K1AAwE0ANAawAnk2wdYEyHw+FwxEQQA/FXROhJLRmylTJ1vE0A9AIwzNs/DMDRPod3BLBARBZ6q5cnveMcDofDoYmihXIkfwdghoi0gdeTOgzeSmAKgJ0ADBSRSSQbishSABCRpST94hlNAORWkC0GsE+BMfoC6AsA22+/vd9bHA6HwxGBoisIEfkVwPR8wb6giMhaEWmHTOZTR5JtAh7qpxLrG/cQkQdFpFpEqquq/FpoOxwOhyMKQaQ2GgGYTXIygN8KBkTkqKCDiMhKkm8iIwC4jGQjb/XQCICfSM1iAM1ynjcFYE6vwOFwOCqQIAaiX5QTk6wC8ItnHDYB0A3ATQBGIiMTPsD7+aLP4e8DaEWyBYDPAZwE4I9R5uFwOByOaJQ0ECLyVsRzNwIwzItD/A7A0yLyMsl3ATxNsg+ATwEcDwAkGwMYJCI9RWQNyfMBjAFQC8AQEam8tlgOh8NhkJIGguRqrPP/10UmG+k7Edmi2HEiMgNAe5/9XwE42Gf/EgA9c56PRiZjyuFwOBwGCLKCWE93ieTRyKShOhwOhyPFhFZzFZEXAHSNfyqOsNxwdNCksPRQf9M6FTWuSZ45Z1/TU9DOqAt/b3oKVhFErO/YnO04kgMQQGrDoZ4Tq5uVfpMCOjbf2si4AHDrcW2NjPtUX3MXy/bb1zcy7p5NtzQyrkl2266o57ziCLKCODJnOwzAariq5t84sm1jNNxiIyNj161tpp3HPX/cILSkjQN3MVPrsmPVZkbGBYD+R+9hZNyNatcyMm69jWrj8D0bGRn7d7/zK8FSz50ntjMybimCXGEGicjp3naWiPQH0Er1xJLCtYfvhn5HVZarZ9t6G2Hv5r4ai8qpU8uMUTQ1bpsmW2CX7VLVfqUkQ0/fG38/orKk1w7bfTuc+fsWpqexAUH+6+8JuK8i2XaLjdG9zXamp6EVkrik287axz1s94bax8zl+L2aah/zvj/uhVqG7mpN0a5ZfTTcYmPT09DKJnVr4dJD9X+nSlEwi4nkvgD2A1BF8tKcl7ZApjbBYZDT9mtudPz9dmqgfcybDcUfsvTZvwWembJY65jNtt5E63j5/LX7rrjpVb1tS2sbWq3t08JcbA0ANq0bpG5ZL8X+EnUBbI6MEamXs60CcJz6qTmK8beeuwEAjmnfxPBM9LHFxma/QLsaCGCSZlYPf9wnI792fLX+VZMprui+CwDgluP2NDwTeyhoIETkLRHpB6CTiPTL2W73uso5DJINUF/QdSfDM9FH9mJ5cTe9IbBzD2qpdTwbOL9L5v+qweZmEjBM0K5ZJq7WYw8zAXIbCbKW+57kLSRHk3wjuymfmSMQO1ZtrnW8fxxpPnh4nOZYwNkHmDcQd53UTut4jeubdW2ZIBvr2XwjvStV3f/PYQhiIIYDmAugBTLCfYuQEdOreAYcuy790HRMQBen7tvc9BTQdKtNtY63pQVFcgftnKo28AX5S06gdviZvi1gUkfutcO2FVsQA7GNiAxGRpn1LRE5A0AnxfNKBCfuva5Q7aKDKyPzNzdP/G89dzU4k/Rz6/HrgvI2GCkdHNNh3d30XjuYSaXWTZsm6woSh52xt8GZbEgQA/GL93MpycNJtkemP0PFkxtA3GqzutrGbWLJ8v/EvfV18Bt6mh1fnAdO2UvbWIcaTuvNUk+jyyX3f3vjOpWXLLlLQ7tqXoIYiH+S3BLAZQD+AmAQgEuUzspRFN3+6EJsuYm+u9r9dtpG21jFOEhjJfcWG9uxanjy7PQ7DHLdxQCwWyMzkhumUnwLUXQ2Xi+HViLyrYjMEpEuIrKXiIzUND+HD9V5Wkj9j0l/JXe+7IMueZON8uRMKuGu9vE8339rQxdLnRzSev3V2qBTqw3NxC5K9aReCyBwa1GHGU7QJNpnk3jbgGP15Ko/e85+WsYJwr476llFdcjz/ZuqxdDJNnnB4UYVVsldiCDrmXdI3ktyf5Idslupg0g2Izme5BySs0le5O1/iuQ0b1tEclqB4xeRnOm9rybcx1JPDx95DVNVr7p0ggb+seSfXRu/b6WnktsmHaTrjtpdyzg2rZKONVQIqku0z/aivCBXlv0A7A7gegC3edutAY5bA+AyEdkNmayn80i2FpETRaSdiLQD8ByAEUXO0cV7r3XrvWt9xMSuO1LPF9gUTbfa0AB2NhQb0GUUTSnmtmiwoXpsq2311rzo5sm+G8Y6ruyR7ky5nj5FeTYVZpb87/fiDvlbyYZBIrJURKZ6j1cDmAPgt9sBZtatJwB4Ivr0zeFXSHTwbnZknajCz9Vw0cHqBcYO2NmMxHch/rSP+uytIT5ZW6akqHXhl9a6bcpdPZv5ZIhdaFHKfJCGQQ1JDib5ive8Nck+YQYh2RyZ/tSTcnbvD2BZEdkOATCW5BSSfYucuy/JGpI1K1asCDOtRKLj4hSGjhoEzu62JGsri46iyObb6C0GLMU1h++mfAxTkup7NLEntgbY5eIL8hd5GMAYAI295x8BuDjoACQ3R8aVdLGIrMp56WQUXz10FpEOAHog4546wO9NIvKgiFSLSHVVlV13miq45nB/qQsTUtS60JlOG4RWGnLVTQWGj2zb2Hf/sR3S+//l5y4G7G3io5MgBqKBiDwN4FcAEJE1ANYGOTnJOsgYh+EiMiJnf20AxwJ4qtCxIrLE+7kcwPMAOgYZM+1sUtf/7uKCrvYsS+Om0MXy8sN2UTpupcin5PLX7v6/0601FoLqpkOBlq62FCqaJIiB+I7kNvD6UJPsBODbUgd5MYbBAOaIyO15L3cDMFdEfMX1SW5Gsl72MYBDAcwKMNeKZXvFLokrClw4TPIHxXe1ulVjg6A6k0y3zpUNFCpOU92f4fAEqMYGMRCXAhgJoCXJiQAeAXBBgOM6A+gNoGtOWmtP77WTkOdeItmY5GjvaUMAE0hOBzAZwCgReTXAmFq4oVfhbKU+FrYNjINzLFA0zWe7LdUGMOtvat9d8/4762/UpIPzuhT+/3rKJ7spDZy5f+FrRWPF/9tBKWkiRWQqyQMB7AKAAOaJyC8lDoOITPDe7/faaT77lgDo6T1eCMBs+7AinNJph4KvXdi1FQZP+FjjbPRQLIPm2iNa44aXP9Q4m3RTrDLeFvmNuDmxunDyRdtm9fVNRCPtty8sRvjwGR1x6B3/0Tgbf4JkMW0M4EIANyAj932et69iKRZAVKm6uZ2lKX8nKOw6plMcLwyD/qyuNOeIPfwDxaZpsLm6FVUxF6lNWT26aKm5z0shgriYHkGmUO4eAPcCaA3gUZWTcvhz2wl2LqrqKbyr7bKrnZlpKiu5bZX2fiyF/RmKuYsBoJ2h1UstS2peghiIXUSkj4iM97a+ANRXRzk2oPNOxS9KN/1hj6KvJ5F8kb58VMmblMoyTeNd7dDTi0uq2yZFHQeH+Ujm5GLrClYXQQzEB17mEgCA5D4AJqqbkiMqqrJ6drVIjyiffx6txijaJNKXjyrJ8X1KFD2mUbRv23rF3ba6VINtJYiB2AcZwb5FJBcBeBfAgZ6Q3gyls7OQbgHkNHb00dHRgSot+fstvovq3FKNFtTuje2VuL66p5qqZtVpneVw0t56FIvzUWUUk7LaD3JF6Y5MP+oDva0FMtlGRwA4Ut3U7OTvBaouc7n2yNLvSRJBZB+6aGykk4sqo2jKhRQkEcGWAGZcPH5W6djGZYfaV4dTDofvWToR4cKuO2mYSXGCiPV9AmAVgC0BbJPdROQT77WKIkhBWpdd0tVgPshd1PkK/pl19T+IiopK6+EBLpZpE+3bu3lpPa+qeuly9WweoI3ruV0SYCBI3gBgBoC7EU7u2xEjKlNJ42CvHeIX7Rv4J3v6T/hRrB4mKi22MeOeDMp1ClbHpkT6dqyy+3dtQyJEkL/MCQBaishBYeS+HfFSSFAsn5M7mvHVqqC+ZSJ9+eykoD+DqdVBUBdhr3ZmGvio4MZjgsUB7jm5veKZ2EsQAzELQH3F83CUIGitwbkHmV+WxkXQi+VVMTeVOVFTC1ebuL5XsL7mW6VItM+v/4QfB++WLpdxGIIYiBuRSXUdQ3JkdlM9MUc0mm0dr9jaRRY1LynEMTG3pbyqp/1dzB44JV73W9z/N0kgaIJD3Nld3RJkcIL8hoYBuAnAAKyLQdymclK2EqZpytkH7qhwJvpIgoGIu+uYjSJ9+ZQqmkwKZ4YQt3z2nH0VzkQf/xeipaipPvdZghiIL0Xkbq+K+q3spnxmFnJG5+D/zGlx9YTxifc7Kt09uVXzjxABYJXyJjrpvW/wQH8byzq/RaVDEZG+fIb6tJ7VSRADMYXkjST3JdkhuymfmYWEuVjG2QVtm4T4ff8QY1e7uxMSGBxyWnyifXG7ylQRZ3Xx9iFcWzZk9cRBmOK7Fg3M1rwEca5lv6m5ouwCwGUyaeKmP+xpegqBCJLbHZTDEtLNK05XTxJcWwDwaJ99YpOiNiXfEbYavXqHrVDzyTeKZlMY06J9QQrluvhsJY0DyWYkx5OcQ3I2yYu8/deR/NyniVD+8d1JziO5gOSV4T9aeujWOtzF8pbjkmFQilFKpC8fU/ImYedpIw/2Diel0kpBeq9ujmgbrpvbvYo7+dlKkEK5hiQHk3zFe96aZJ8A514D4DIR2Q2Z1cd5JLNO1jtEpJ23jc4/kGQtAAMB9EBGXvzknGMdJYirwXxLywuJcrkupvhHkrqXHRLyxqEQ+4VcBaVBtK/RluGCv5Uq2hckBvEwgDEAsuIhHwG4uNRBIrJURKZ6j1cDmAMgqJO1I4AFIrJQRH4G8CSAXgGPVcIBO4fXGjKlghrXsjRJUsf7xSTal6TuZX+NqU94nK5B1ZzSqXDnOZXEZRT/FbA4zxYKGgiS2f+aBiLyNIBfAUBE1gBYG2YQks2RiWVM8nadT3IGySEk/UL6TQB8lvN8MQoYF5J9SdaQrFmxYkWYaYUiTIZJlqtDpMXaSKsI+v9B1G5VEJdon6lAaP0ITYJ2NBzALJfhERoQXdwt2a1owrq2AOCyQ8x95mLfqsnez+9IboNMYBpeb4hvgw5AcnMAzwG4WERWAbgfQEsA7QAshX9NhZ+5Fr/zi8iDIlItItVVVeoURaMoaO7fys5uaCo5t0jz+aAErXC1hTC5/IWI0n8i6aJ91c3D/50bbJ5sV0+UnuJnHWCupqqYgcj+910KYCSAliQnItOC9IIgJydZBxnjMFxERgCAiCwTkbUi8iuAh5BxJ+WzGECu3kFTAEuCjJk2erWzsz9xIcLkeBfifstF+vL54z7luz2CSKrbxA1HB5PmKIapAP+2CVOGNZneW8xAVJG8FMBBAJ4HcDOAV5C5qHcrdWJmnHaDAcwRkdtz9ueusY5BRuspn/cBtCLZgmRdACchY6QqjqjFZ3+K4aJliqTdJe4YQ38GVX0tStGxRBe5Qhy5Z3hXiS3ceVK7SMcl7cYlDor9V9YCsDmAegA2Q6ZmohaATb19pegMoDeArnkprTfndKPrAuASACDZmORo4Lc4x/nIBMfnAHhaRGZH+YBJJ2pufJhyftuI6jopt9PaEQm+6EUlakp0Umo2/AjSf8KPg1LW5yUIxdIXlorI9VFPLCIT4B9L2CCt1Xv/EmQ61WWfjy70Xkdpmm5VnsvibIN+z6j0at8Y/UfPiXx8UEVTmxj052qc+UhN5ON3sLz/hAqi9p/YpG55rp7OO9ndAMuPIDGIiufyw6KnEyb1Tv6K7vYrmuZTqgF9KbZOiKRJLvsq6smtmt5lNFsacW74gL4NXNg1uvClqULQYgbiYG2zsJxzDox+kU+qgSinliKOAGYlcUUZ9QybJaiGIZc+ZWR+7d54ixhnoo+o8R4AGHRqfJpfYShoIETka50TsZlyLpZR0tqybFTbTOCyXI4tQ3RuwLHJKiTKMuwMv2S8YJy8dzITCsqRot6hjKytpMqblFNsZ8oVmMwrUIVw6/Ftyzq+tqE8+XLuao/pkAxF03z23TG6qyepXdqGnBpditqUXEc57mIA6LRj/L3Xg2BKtM8ZCIs5sm15NRBJUYHNpdy7Q1PyJnUTuNorV1JdRU9u1RxV5ncqKTL0cZG8/2pHYKL2FzDdxaoc/n5ENE3HR/tEdxGZJuqNxEG7lFfpn0TRvnJbq1YlrEanXJyBKEEcInB7GOqEFbWe4P4/JUekL599Irp6oubG28Al3aJlx5QTHzNNmO6OcRLVKCa126IzECWIQ0b6qp7JShmNo7Vjzz22i2Em4YnqqzUlZxBHIkILQymQUXmkjIB+lvNi0PzSSRySOVf10H8dcQaiBDtHUDTNZ7+W6WgwH4azDwj/BU5q+mKWcyOkNL9wXueyx02aq6ecdM8s2yTM1RNH5fnpBlZNzkBYiqk78LiI0lfhwT+byfWOixP3blb6TXkkMdCby40R0pKTvFoziYlEiGT/xlJMXLIPp+3XPJbz6GC7LcqrhDZNlFz1qLIP5dK6UTyrtZ5tkqNfFVex2UMJv5EJgzMQlhKXounZByZHUymuXO+wmUzddqs8EbZ7/xhPuuaWERodmWKfFvHIkuzfqnJcxs5ApJywvXeTtOIoRNiA4IAE1ovk8/Dp4YrW4pAoN03Y0EtcLpqwLrL229ePZVwTOANRhEtibG94YdedYjuXSq5JeJtUIHwAM2n9J/yI6+5YNX/o0DS2c70YQ4BfB5cfGk/vcEB/IagzEEWIU2ivbxmCfzqJs3FNlABmJXFBjDcN5UpR6yKOlrRZdt0uGVlvncqQYcnnwd564x/OQBQhzqyBzROqulkOYVw9USugbeOxPvsEfm8a3HlAuEysOGWrkyJvEmfv8KZb6VU5UPYbJtmM5HiSc0jOJnmRt/8WknNJziD5PMn6BY5f5HWem0YyekeUBBK1y1chTBmnTesGHzeOvs42ECbHP2m5/IX4d+/glfemajbiXK0BwAE7lydTEpU4jU2g8RSeew2Ay0RkNwCdAJxHsjWAcQDaiMieAD4CcFWRc3QRkXYiUjl5ZQCOrw6fT1+M/sfY358h7tz4tk3NyJsk4a62XJXgfEw1swlDnLEPALj9hHh/h7ai7L9ZRJaKyFTv8Wpkeks3EZGxXs9pAHgPQLx/OccGHLlnMFdPwy3ScUcLAFf2CBZsH2yoEYsKgl4ED9mtYazjJqGSu3nMRmybhEq0h0XL7Q7J5gDaA5iU99IZAF4pcJgAGEtyCsm+Rc7dl2QNyZoVK1bEMl8A6KhAvM1UulvQZekDpyRXpC+ffQK6etIkg3LhwcHcKEmqXSiFqY6NQY3iP45MdmxNuYEguTmA5wBcLCKrcvZfjYwbaniBQzuLSAcAPZBxTx3g9yYReVBEqkWkuqoqPr/g3xX8Ya+0vM9z++23iv2ccYiURSGoUUxK9k8Qti9Tylo1YWs1gtB3f7sLQXu1i78B1rUaEzqUGgiSdZAxDsNFZETO/lMBHAHgTyIifseKyBLv53IAzwPQKtgfh6JpPlGlqJPMWQG+wLvEIIhoExceXFp+e+T58efw2+7qiUOkLx/bu/FtrWB+vTvtEPs5C6Eyi4kABgOYIyK35+zvDuCvAI4Ske8LHLsZyXrZxwAOBTBL1Vxt4pDW8fqHTRPE0JpqyK6K4/cqHQvYxVDnO1UEybwLk9XmKIzORAiVI3UG0BtAVy9VdRrJngDuBVAPwDhv3wMAQLIxydHesQ0BTCA5HcBkAKNE5FWFc7WGfx6tJuOoz+/NNFgJQuP6ye1g50eQrmXltlaNSvNt1LihDt3dXvXhYTH0n/BjyGnpurHxQ5lJF5EJAPzWvKN99mVdSj29xwsBVEYeWR4NFSmanrX/jhg84WMl5y4XVQ3Z+x21O/4xcnbB1ytJdC2LqtXalpvYG/jeV5FrN00JDoWwP2nbEQvbbVnc8JzcMd7aCxso1aD+9hPa6ZmIRkr11m6ZApG+fOrUKn6DocolU6p2R7dukgqcgfAh7qrLXC6O2D9YNf2Osr+YLiylApgNNrc7wBmFUr21TQWyj9hTXd+I58+1U7TvmsPVZRvF1c+jFM5A+HBeF3UGIkhWjwlUBr5utlROW+XFsthdrcp4kKlubaW45JD4lJHziaMtsAr2bakuazGMvEk5OAPhg8ov2WYVKNp3ZBFXzxXd45NCtolhpxd29UTpXZ0EirlUWkTothcUW+VNVMXWAKCJpsQOO3+zFcoNijKYsmxlqIK2WDGazdlV5VBdxNWTFpG+fO4vUomvW2Quy9kHqF2xH7yrmW6Eun6fzkBYxCmKFU1VG6AoqE737GBI3sTGu1rVoo0tLBTtO3FvtckXN8esvGwb9v0XVzCqA4iH7+EfKFRR7WkLVxSQN3nglA6aZ6KPEwuoARf6+6cZ1a1V0/zdAZyB2IB2zeorH0OF5EAQChmgNIn05VNIdPHAnc24BnRQqGtb/U3TezFTmXlYjELfKZ16SSpxBiIPHT2ZrzjMrsCsDoN1bIf4RcuCUMhXmyaRvnxsE+176M/qK47P6GxXLOtIhWm9Wa7vtbvyMZyByKNYcDFJY9iGXzDaRp91nFzqk9r53P/tp3xc20T7Ou2o/v/dNtG+bRUpIuRy0t7quzA6A2EJploY6mL3xhuK9qVNpC8fv1XT7o31FDiZwq/TWr2N7ZXhSDI6EiGcgbCEf2lqC3rW/vYsxZsrzI23gaZbbejqMVXIpqtbYDeL1IiHnhZ//wk/VIkB2oAzEJbgdzFRgU2V3CoLiXLJT+/da4f4GyPZzqN99tEyzhYWrRZUVjLnErR7YRJxBqLCyPeNmgoe6+SovJ7c96c4xTXL42eubxBabZs+kb58NslbnelareWPk6bYmjMQOaiuuszlMoXaNGHof/QepqegnPwezA02S2clcy57NV9/lWQqcN1lF32xNR0JAEHod5T67KIsbZvG3/kyF2cgcgjSKjIu+lgSC9CZ7hmk65gOdMo+1Nt4nfZWoQI2FZhqSJTP1RrSxrO0amjHKkmXawsoLm8SBypbjjYjOZ7kHJKzSV7k7d+a5DiS872fvg5hkt1JziO5gOSVquaZi04hvUpsv3hEjqvnfIWKuTaRWwNweUqFCfPZM+eudscG+i7adWrZcb+rcx7bKU6nVflJ1gC4TER2A9AJwHkkWwO4EsDrItIKwOve8/UgWQvAQAA9ALQGcLJ3bCrRUZyXi6k+CLmrlQsOrgwDkRsQb5BSkb587j6p/W+PTYn0nbrvDlrH626o5arq368yAyEiS0Vkqvd4NYA5AJoA6AVgmPe2YQCO9jm8I4AFIrJQRH4G8KR3nDJ0SGwUQrei6fW9zIv26XaBZO9qm22tt/+1DXe1f1QsAplPcwuCtL01G4gbj01nLE+Ln4NkcwDtAUwC0FBElgIZI0LSTxSnCYDPcp4vBuCbp0eyL4C+ALD99tG+CMe0b2KkP/GoC3+Pt+d/qT2A2KPNdji9c3MjUtuPn7kPPv36e+3jPnvOfug/6kNcXkC8TyV3nNgWGxuICXxw7SG4+435SjubFaLfUbujTRP9RYGvXXogRkxdjJ221dtEaKvN6uKSbjvjcA0SG/nc0Gt3fPDZSiXnpogoOfFvA5CbA3gLQH8RGUFypYjUz3n9GxHZKu+Y4wEcJiJnes97A+goIhcUG6u6ulpqampi/wwOh8ORVkhOERFfWQOl61+SdQA8B2C4iIzwdi8j2ch7vRGA5T6HLgaQm/LRFMASlXN1OBwOx/qozGIigMEA5ojI7TkvjQRwqvf4VAAv+hz+PoBWJFuQrAvgJO84h8PhcGhC5QqiM4DeALqSnOZtPQEMAHAIyfkADvGeg2RjkqMBQETWADgfwBhkgttPi8hshXN1OBwORx7KgtQiMgFAoejrwT7vXwKgZ87z0QBGq5mdw+FwOEphPgfP4XA4HFbiDITD4XA4fHEGwuFwOBy+OAPhcDgcDl+UF8rphOQKAJ9EPLwBgC9jnE4ScJ85/VTa5wXcZw7LDiLiq8ueKgNRDiRrClUTphX3mdNPpX1ewH3mOHEuJofD4XD44gyEw+FwOHxxBmIdD5qegAHcZ04/lfZ5AfeZY8PFIBwOh8Phi1tBOBwOh8MXZyAcDofD4UvFGwiS3UnOI7mA5Ab9sdMGyWYkx5OcQ3I2yYtMz0kXJGuR/IDky6bnogOS9Uk+S3Ku9/fe1/ScVEPyEu//ehbJJ0hubHpOcUNyCMnlJGfl7Nua5DiS872fWxU7R1Aq2kCQrAVgIIAeAFoDOJmk/v6MelkD4DIR2Q1AJwDnVcBnznIRMvLxlcJdAF4VkV0BtEXKPzvJJgAuBFAtIm0A1EKml0zaeBhA97x9VwJ4XURaAXjde142FW0gAHQEsEBEForIzwCeBNDL8JyUIiJLRWSq93g1MheNJmZnpR6STQEcDmCQ6bnogOQWAA5ApmkXRORnEVlpdFJ6qA1gE5K1AWyKFHaiFJH/APg6b3cvAMO8x8MAHB3HWJVuIJoA+Czn+WJUwMUyC8nmANoDmGR4Kjq4E8AVAH41PA9d7AhgBYChnlttEMnNTE9KJSLyOYBbAXwKYCmAb0VkrNlZaaOhiCwFMjeBALaN46SVbiD8GhpVRN4vyc2R6Rd+sYisMj0flZA8AsByEZliei4aqQ2gA4D7RaQ9gO8Qk9vBVjy/ey8ALQA0BrAZyVPMzirZVLqBWAygWc7zpkjhkjQfknWQMQ7DRWSE6flooDOAo0guQsaN2JXkY2anpJzFABaLSHZ1+CwyBiPNdAPwsYisEJFfAIwAsJ/hOeliGclGAOD9XB7HSSvdQLwPoBXJFiTrIhPQGml4TkohSWT80nNE5HbT89GBiFwlIk1FpDkyf+M3RCTVd5Yi8gWAz0ju4u06GMCHBqekg08BdCK5qfd/fjBSHpjPYSSAU73HpwJ4MY6TKutJnQREZA3J8wGMQSbjYYiIzDY8LdV0BtAbwEyS07x9f/N6gDvSxQUAhns3PwsBnG54PkoRkUkknwUwFZlsvQ+QQtkNkk8AOAhAA5KLAfwDwAAAT5Psg4yhPD6WsZzUhsPhcDj8qHQXk8PhcDgK4AyEw+FwOHxxBsLhcDgcvjgD4XA4HA5fnIFwOBwOhy/OQDgqBpLbkJzmbV+Q/Nx7/D+S9yka82KSf1Zx7hLjVpF8Vfe4jnTh0lwdFQnJ6wD8T0RuVThGbWRy8juIyBpVYxQ6N8mhAAaJyEQVYzvSj1tBOCoekgdle0SQvI7kMJJjSS4ieSzJm0nOJPmqJ1MCknuRfIvkFJJjsjIHeXQFMNUryGxJcmrOmK1ITil2LpJnkXyf5HSSz5Hc1Nv/MMnbSY4HcBPJA3NWRh+QrOcN8wKAP6n6vTnSjzMQDseGtERGGrwXgMcAjBeRPQD8AOBwz0jcA+A4EdkLwBAA/X3O0xnAFAAQkf8C+JZkO++10wE8XOJcI0RkbxHJ9nLok3PunQF0E5HLAPwFwHki0g7A/t48AaDGe+5wRKKipTYcjgK8IiK/kJyJjARL1pc/E0BzALsAaANgXEbyB7WQkZfOpxHW1wIaBOB0kpcCOBGZfiTFztWG5D8B1AewOTKSMFmeEZG13uOJAG4nORwZo7LY278cGVVThyMSzkA4HBvyEwCIyK8kf5F1gbpfkfnOEMBsESnVwvMHALktL59DRjfnDQBTROQrko2LnOthAEeLyHSSpyGjv5Plu+wDERlAchSAngDeI9lNROZ6Y/8AhyMizsXkcIRnHoCqbI9nknVI7u7zvjkAdso+EZEfkVkF3A9gaIBz1QOw1HNDFYwlkGwpIjNF5CZk3Eq7ei/tDGBWoeMcjlI4A+FwhMRrT3scMgHi6QCmwb/vwCvItP3MZTgyTanGBjjXtch0+xsHYG6RKV1McpZ3/A/euADQBcCoMJ/N4cjFpbk6HAoh+TyAK0Rkvvf8LwC2FJFrNYz9HwC9ROQb1WM50okzEA6HQryGPQ1F5D+esWgJoKuIfKl43CoAnUXkBZXjONKNMxAOh8Ph8MXFIBwOh8PhizMQDofD4fDFGQiHw+Fw+OIMhMPhcDh8cQbC4XA4HL78Py2PAI47uj/2AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(t_hours/(24*365), TdegC)\n", "plt.xlabel('Time (years)')\n", "plt.ylabel('Temperature (Celsius)')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Instantiate the battery model." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "cell = Nmc111_Gr_Kokam75Ah_Battery()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "All battery models have five properties. The first is `_cap`, which is the nominal discharge capacity of the cell in Amp hours." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "75" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cell._cap" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The next four track battery lifetime values, and store the history of the battery as lifetime is simulated at each timestep/iteration:\n", "- `states`: internal states of the battery model\n", " - Ex., time-dependent capacity loss\n", "- `outputs`: battery properties calculated from states\n", " - Ex., relative discharge capacity\n", "- `stressors`: values of stressors used by the model\n", " - Ex., temperature, depth-of-discharge, charge-throughput\n", " - Note that degradation rates are calculate from stressor timeseries, and then normalized for the timestep; for example, an Arrhenius expression would be evaluated from the temperature timeseries for the entire timestep, and then normalized by taking the time-based average - this gives a different value than if the Arrhenius expression was evaluated on the averager temperature. Other normalizations can include using the minimum or maximum value over the timestep, or using the root-mean-square.\n", "- `rates`: values of degradation rates\n", " - Ex., time-dependent degradation rate due to temperature and state-of-charge\n", "\n", "Battery models may have other properties, such as the open-circuit voltage as a function of state-of-charge, nominal DC resistance values, or first-life/second-life capacity definitions.\n", "\n", "This specific battery model is relatively complex, and has many states and outputs that describe the degradation state of the battery. Properties `states`, `outputs`, `stressors`, and `rates` are all stored in dicts:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'q': array([1]),\n", " 'q_LLI': array([1]),\n", " 'q_LLI_t': array([1]),\n", " 'q_LLI_EFC': array([1]),\n", " 'q_LAM': array([1.01]),\n", " 'r': array([1]),\n", " 'r_LLI': array([1]),\n", " 'r_LLI_t': array([1]),\n", " 'r_LLI_EFC': array([1]),\n", " 'r_LAM': array([1])}" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cell.outputs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Output descriptions are in the class definition, replicated here:\n", "- q: relative capacity\n", "- q_LLI: relative lithium inventory\n", "- q_LLI_t: relative lithium inventory, time dependent loss\n", "- q_LLI_EFC: relative lithium inventory, charge-throughput dependent loss\n", "- q_LAM: relative active material, charge-throughput dependent loss\n", "- r: relative resistance\n", "- r_LLI: relative SEI resistance\n", "- r_LLI_t: relative SEI resistance, time dependent growth\n", "- r_LLI_EFC: relative SEI resistance, charge-throughput dependent growth\n", "- r_LAM: relative electrode resistance, q_LAM dependent growth" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Accesing one output/state/rate/stressor is simple:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cell.outputs['q']" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The battery model should be run in timesteps relavent to battery degradation, such as once per day. Larger or smaller timesteps could be used if desired, but timesteps should avoid splitting up cycles, or at least be long enough that miscounting cycles due to splitting them up does not introduce much error.\n", "\n", "Each battery model tracks the history of it's inputs (`stressors`), calculated degradation rates (`rates`), internal states (`states`), and outputs (`outputs`) each time `update_battery_state` is called. Debugging models is easier because the values of all inputs, internal calculations, and outputs are tracked." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "t_days = np.arange(years*365)\n", "for day in t_days:\n", " hour_start = day*24\n", " hour_end = (day+1)*24 + 1\n", " # Update battery state\n", " cell.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(cell.stressors['t_days']/365, cell.outputs['q'])\n", "plt.xlabel('Time (years)')\n", "plt.ylabel('Relative discharge capacity')\n", "plt.ylim((0.7, 1.02))\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The cell resistance and capacity trajectories are wiggily because the temperature of the battery is varying throughout each year, varying the degradation rate. Dispatch is the same each day, so that is constant.\n", "\n", "The model keeps track of how much charge-throughput has occured throughout life, as well, based on the input state-of-charge timeseries. Conversion from charge-throughput, in Amp-hours, to changes of cell state-of-charge, which is dependent on battery performance (health, temperature and SOC dependent resistances), is assumed to happen externally to the model. This simple simulation is essentially assuming that the current magnitude is continuously being adjusted based on the the state-of-health of the battery." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(cell.stressors['efc'], cell.outputs['q'])\n", "plt.xlabel('Equivalent full cycles')\n", "plt.ylabel('Relative discharge capacity')\n", "plt.ylim((0.7, 1.02))\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "This dispatch has a little more than 1 EFC per day.\n", "\n", "We can plot the separate contributions to capacity or resistance fade, as well." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.7, 1.02)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(cell.stressors['t_days']/365, cell.outputs['q_LLI'])\n", "plt.plot(cell.stressors['t_days']/365, cell.outputs['q_LAM'])\n", "plt.plot(cell.stressors['t_days']/365, cell.outputs['q'], '--k')\n", "plt.xlabel('Time (years)')\n", "plt.ylabel('Relative discharge capacity')\n", "plt.legend([r'q$_{LLI}$', r'q$_{LAM}$', 'q'])\n", "plt.ylim((0.7, 1.02))" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "From the result, the cell will experience sudden failure very shortly; considering this is near 70% remaining capacity, this is physically reasonable." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(cell.stressors['t_days']/365, cell.outputs['r_LLI'])\n", "plt.plot(cell.stressors['t_days']/365, cell.outputs['r_LAM'])\n", "plt.plot(cell.stressors['t_days']/365, cell.outputs['r'], '--k')\n", "plt.xlabel('Time (years)')\n", "plt.ylabel('Relative DC resistance')\n", "plt.legend([r'r$_{LLI}$', r'r$_{LAM}$', 'r'])\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Repeat with other battery life models." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\Users\\pgasper\\Documents\\GitHub\\BLAST-Py\\functions\\state_functions.py:16: RuntimeWarning: invalid value encountered in double_scalars\n", " dydx = k*p*((y0/k)**((p-1)/p))\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from lfp_gr_SonyMurata3Ah_2018 import Lfp_Gr_SonyMurata3Ah_Battery\n", "from nmc111_gr_Sanyo2Ah_2014 import Nmc111_Gr_Sanyo2Ah_Battery\n", "from nmc811_grSi_LGMJ1_4Ah_2020 import Nmc811_GrSi_LGMJ1_4Ah_Battery\n", "from nca_gr_Panasonic3Ah_2018 import Nca_Gr_Panasonic3Ah_Battery\n", "from nmc_lto_10Ah_2020 import Nmc_Lto_10Ah_Battery\n", "from lmo_gr_NissanLeaf66Ah_2ndLife_2020 import Lmo_Gr_NissanLeaf66Ah_2ndLife_Battery\n", "\n", "cell_nmc_kokam = Nmc111_Gr_Kokam75Ah_Battery()\n", "cell_lfp = Lfp_Gr_SonyMurata3Ah_Battery()\n", "cell_nmc_sanyo = Nmc111_Gr_Sanyo2Ah_Battery()\n", "cell_nmc811_grSi = Nmc811_GrSi_LGMJ1_4Ah_Battery()\n", "cell_nca = Nca_Gr_Panasonic3Ah_Battery()\n", "cell_nmc_lto = Nmc_Lto_10Ah_Battery()\n", "cell_lmo = Lmo_Gr_NissanLeaf66Ah_2ndLife_Battery()\n", "\n", "for day in t_days:\n", " hour_start = day*24\n", " hour_end = (day+1)*24 + 1\n", " # NMC Kokam\n", " cell_nmc_kokam.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])\n", " # LFP\n", " cell_lfp.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])\n", " # NMC Sanyo\n", " cell_nmc_sanyo.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])\n", " # LG MJ1 NMC811 GrSi\n", " cell_nmc811_grSi.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])\n", " # NCA Panasonic\n", " cell_nca.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])\n", " # NMC LTO\n", " cell_nmc_lto.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])\n", " # LMO Nissan Leaf\n", " cell_lmo.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])\n", "\n", "plt.plot(cell_nmc_kokam.stressors['t_days']/365, cell_nmc_kokam.outputs['q'])\n", "plt.plot(cell_lfp.stressors['t_days']/365, cell_lfp.outputs['q'])\n", "plt.plot(cell_nmc_sanyo.stressors['t_days']/365, cell_nmc_sanyo.outputs['q'])\n", "plt.plot(cell_nmc811_grSi.stressors['t_days']/365, cell_nmc811_grSi.outputs['q'])\n", "plt.plot(cell_nca.stressors['t_days']/365, cell_nca.outputs['q'])\n", "plt.plot(cell_nmc_lto.stressors['t_days']/365, cell_nmc_lto.outputs['q'])\n", "plt.plot(cell_lmo.stressors['t_days']/365, cell_lmo.outputs['q'])\n", "plt.xlabel('Time (years)')\n", "plt.ylabel('Relative discharge capacity')\n", "plt.legend(['NMC-Gr (Kokam)','LFP-Gr (Sony Murata)', 'NMC-Gr (Sanyo)', 'NMC811-GrSi (LG MJ1)', 'NCA-Gr (Panasonic)', 'NMC-LTO', 'LMO-Gr (2nd Life) (Leaf)'])\n", "plt.ylim((0.7, 1.02))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(t_days/365, cell_metrics[5,:])\n", "plt.plot(t_days/365, cell_lfp_metrics[4,:])\n", "plt.plot(t_days/365, cell_nmc_metrics[3,:])\n", "plt.xlabel('Time (years)')\n", "plt.ylabel('Relative DC resistance')\n", "plt.legend(['NMC-Gr (Kokam)','LFP-Gr', 'NMC-Gr (Sanyo)'])" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Note that the LFP-Gr cell has much lower resistance growth, relative to the capacity loss. This is more like the magnitude of resistance growth seen by most cells. The NMC-Gr cell from Kokam has much higher resistance growth relative to its capacity loss, likely due to a high power cell design and details of the testing protocol and curve fitting to calculate the DC resistance value from pulse data. NMC-Gr cell from Sanyo has very poor predicted lifetime, with high resistance growth and rapid capacity loss. This reflects the experimentally measured aging data (Sanyo: ~500 EFC cycle life at 80% DOD, Kokam: > 4000 EFC cycle life at 80% DOD)." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Try the NMC|Gr Kokam life model on another simple profile with low lithium loss rate but rapid active material loss driven by low temperature cycling." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Temperature (Celsius)')" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "years = 10\n", "hours = years * 365 * 24\n", "t_hours = np.arange(hours)\n", "soc = np.tile(\n", " np.array(\n", " [1, 1, 1, 1, 1, 1,\n", " 1, 1, 1, 1, 1, 1,\n", " 1, 1, 1, 1, 1, 1,\n", " 0.5, 0, 0, 0.5, 1, 1]\n", " ),\n", " int(len(t_hours/24))\n", ")\n", "TdegC = 0 * np.ones(t_hours.shape)\n", "t_secs = t_hours * 3600\n", "\n", "fig, ax1 = plt.subplots()\n", "ax1.plot(t_hours[:25], soc[:25], '-k')\n", "ax1.set_xlabel('Time (hours)')\n", "ax1.set_ylabel('State-of-charge')\n", "\n", "ax2 = ax1.twinx()\n", "ax2.plot(t_hours[:25], TdegC[:25], '-r')\n", "ax2.tick_params(axis='y', labelcolor='r')\n", "ax2.set_ylabel('Temperature (Celsius)', color='r')" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "cell_2 = Nmc111_Gr_Kokam75Ah_Battery()\n", "\n", "t_days = np.arange(years*365)\n", "cell_2_metrics = np.zeros((len(cell_2.outputs), len(t_days)))\n", "\n", "for day in t_days:\n", " hour_start = day*24\n", " hour_end = (day+1)*24\n", " cell_2.update_battery_state(t_secs=t_secs[hour_start:hour_end], soc=soc[hour_start:hour_end], T_celsius=TdegC[hour_start:hour_end])\n", " cell_2_metrics[:,day] = np.array(list(cell_2.outputs.values()))" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.9, 5.0)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(t_days/365, cell_2_metrics[6,:])\n", "plt.plot(t_days/365, cell_2_metrics[9,:])\n", "plt.plot(t_days/365, cell_2_metrics[5,:])\n", "plt.xlabel('Time (years)')\n", "plt.ylabel('Relative DC resistance')\n", "plt.legend([r'r$_{LLI}$', r'r$_{LAM}$', 'r'])\n", "plt.ylim((0.9, 5))" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.7, 1.02)" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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CWlI8aUnxDMtJ7XDf+qZmSqsbnAISUlBKqnYvr9laRWl1PU1t77azu3nLuSLZXTxyUhPJ3vWeQFaKPbnVnXgpEN8H/tJm3ZU49xY6Eu5/5bb/5dwN3C8iS4BlwGKgyd021b1K6Qu8KyKrVXXuXid0Cscj4NyD6CST6SKnTR7Fk+8tp7G+jvjEpKDjmAOUGBe7a5DEjrS0KDtqGva6IimurHcLSR3LCsoprqrfa0wtcK5KMpMTyElLJDs1kezU0M+Juz9bMekS7RYIEbkMuBwYKiIzQzalAWXhj9pDATA4ZDkXKAzdQVUrce5vIM5dsfXuC1UtdN+LReQVnCarvQqE6Z5uuu4afjzkNmKLl8PgTp8vMBEiJkbISnX6cIwZ0PG+1fVNlFbVU1rtFI/S6npKqht2fS6trmfjpp2UVNXv1SERIEackX73LB4JexYSKyYHpKMriE+AIiAb+FPI+irgSw/nng+MFJGhwBbgUpyCs4uI9AFqVLUB+BEwV1UrRSQFiFHVKvfzGcBvvf0k0x2MOPESmP//YNMnViBMWKmJcaQmxpGXndLhfqrKzoZmSqvqKamu36OolFQ37Pq8ocwpJvVNHReT9q5OWrdlpiRYMXG1WyBUdSOwETh2f06sqk0icgPwDs5jro+r6goRudbd/hAwBnhaRJpxbl5f7R7eD3jFfdQuDqeD3tv7k8MEJK0//9nal02PPsl1U38WdBrTg4nIPhWT6vomSkMKR6lbVEqq6ympctbnl+yktNp7MclKSXCvjBJ2XaVkuesjeSj5dvtBiMhHbie5Kva8dyCAqmq3G0fB+kF0Lz88fRwzP1lNcUU9MXE2cLDpXkKf4motKHs0d1U1UFJdT5m7PlwzFzhXQlmpCWSl7C4c2e7y7qLiFJo+veK73bDy+9UPQlWPd9/bf07OmA6ceMIJPPHeSlZ98ibjTrRe1aZ72fMprs73r2loomxXIWmgrLqesp3Ocll1A2U769m0vYZFm8rZvnPvoVOg9erELSCpzr2R7JArk6yU3QUlKzWB5IRg/7Dy0lHuGGCFqla5y6nAOFX93O9wpmc74axL4I6HmfvWS1YgTI+XnBBHcmYcgzPb76TYqrlFKa9p2LOA7CoorevqWbqjnLLqBqrrm8KeJzkhNqSQ7C4grVcprYUkK8VpDjvYvJSnvwMTQ5ZrwqwzZi/DJp1C/7RYPv3sc34SdBhjulBsyNNco/p13ghT19hM2U63iFS3Nm3teZVSWF7Hsi0VlFU37NXXJDMlgUW/Of2g/w4vBUI05EaFqraIiDUom05JTAxHjejLlsKioKMY060lxXvrZwK7h5kPbeZqbA5/f+RAefmHPl9EfoZz1QBwHZDvSxoTcV685wYSP74HasuhV5+g4xjT44UOMz+ib8c94A+Ul5G2rgWOw+nL0DpcxnQ/Q5nIkTjMfUp6y8Jggxhj9pmX+SCKcTq5GbPPmvodwWUv1nB61YNM/9M3Oj/AGNNteHmKKQmnA9s4YNegOqr6Qx9zmQgRl5rJ4uJYWubNt8tOY3oYL01MzwD9gW8Cc3DGVKryM5SJLFMOHcQXa7cGHcMYs4+8FIgRqvobYKeqPoUzcdBh/sYykWTKpCMoqGii6OsVQUcxxuwDLwWidaaQchEZD6QDeb4lMhFn0nEnA7D4w5kd72iM6Va8FIhH3LmjfwPMxBlU7x5fU5mIcviJ53HUwBjYvj7oKMaYfeDlKabH3I9zgGH+xjGRKH1AHl/cMhZy95620hjTfXV6BSEiWSLyNxFZJCILReQvIpLVFeFMBBlwOFq0NOgUxph94KWJaQZQDFwEXAyUAv/yM5SJPI8sqKPPLxdTW14cdBRjjEdeCkSmqv5OVde7r98DfXzOZSJM1pAxVNbD8nn/CTqKMcYjLwVitohcKiIx7us7wBt+BzOR5YjjzwBg6efzAk5ijPHKS4H4MfAc0OC+ZgA/F5EqEan0M5yJHMOOmEpqgrD0Sy/TmRtjugMvTzHZjHLmgMXExnJYbhpL12wIOooxxiNP8zq4/SBGsudYTHP9CmUi01XfnMiOjcuCjmGM8cjLYH0/Am7EGYNpCXAM8Clwqq/JTMS55nsXwaxFsLMMUuxJaWO6Oy/3IG4EjgI2quopwASgxNdUJjL1HU15nVKZvyDoJMYYD7wUiDpVrQMQkURVXQ0c6m8sE4kKmzLIuKeKZ//5dNBRjDEeeLkHUSAifYBXgXdFZAdQ6GcoE5kGjJpAWqKwcuXKoKMYYzzw8hTThe7HO0VkNs5orm/7mspEJImJYfSANFZ9vTnoKMYYD7yMxXSMiKQBqOocYDbOfYhOiciZIrJGRNaJyK1htmeIyCsi8qWIfOEOJ+7pWNMzjRk6gFVbyoOOYYzxwMs9iL8D1SHLO911HRKRWOBB4CxgLHCZiIxts9uvgSWqejjwfeD+fTjW9EBjDx1FYWUzFVs3Bh3FGNMJLwVCVFVbF1S1BW/3LqYA61Q1X1Vbe2Cf32afscD77nlXA3ki0s/jsaYH+tZZZ/LwOUnElFuBMKa781Ig8kXkZyIS775uBPI9HDcICG1sLnDXhVoKfBtARKYAh+D0t/ByLO5x00VkgYgsKCmxp2+7u/HHnsb0SQmk1RcFHcUY0wkvBeJa4DhgC84/1EcD0z0cJ2HWaZvlu4EMEVkC/BRYDDR5PNZZqfqIqk5W1ck5OTkeYplAZeSxokRZsfCjoJMYYzrh5SmmYuDS/Th3ATA4ZDmXNo/HqmolcBWAiAiw3n0ld3as6aHiErjkpQbGLJjJSz/8W9BpjDEd8HIFsb/mAyNFZKiIJOAUmT1mrReRPu42gB8Bc92i0emxpucaMTCTr7aUBh3DGNMJT4P17Q9VbRKRG4B3gFjgcVVdISLXutsfAsYAT4tIM7ASuLqjY/3KarrWiEMG8d7yIrSlBYnx828UY8yB8K1AAKjqm8CbbdY9FPL5U5xRYj0dayLDiJGjqG1cQNFXSxh46MSg4xhj2uGlo1w/EfmHiLzlLo8Vkav9j2Yi1chxRwKwbsnHwQYxxnTIy/X9kzhNPQPd5bXATT7lMVFg8kln8sblvTjMHjozplvzUiCyVfUFoAWc+wNAs6+pTETLGDKOs8ekkdG4NegoxpgOeCkQO0UkC7cfgogcA1T4mspEtpgY5pZm8uYH1sRkTHfm5Sb1z3EeMR0uIh8DOcDFvqYyEe+eD8spLNvM2fcEncQY0x4vHeUWichJOJMECbBGVRt9T2Yi2ohDBjJ31WJ71NWYbszLnNTfbrNqlIhUAMvcXtbG7LMRw4dR3bCIbRvW0H/YmKDjGGPC8PKn29XAY8B33dejOM1OH4vIFT5mMxFsxGhn6o91Sz8JOIkxpj1eCkQLMEZVL1LVi3CG6K7HGbTvV36GM5Fr6BhnzqmNa5YFnMQY0x4vN6nzVHVbyHIxMEpVt4uI3Ysw+2X4hONZ9pMUhk3qH3QUY0w7vBSIeSLyH+BFd/kiYK6IpADlfgUzkS0+NZPxef2g1gbpNaa78vIU03UichFwPM5TTE8DL7mzzJ3icz4TwV5en0zZ6rlcc17QSYwx4XRYIEQkBvhSVccDL3VNJBMt/rW0msXrCrkm6CDGmLA6vEntzj+9VESGdFEeE0Xyhgxi4/YGWhobgo5ijAnDy1NMA4AVIvK+iMxsffkdzES+vKHDaWiGrV8tCTqKMSYMLzep7/I9hYlKeSPHArBh5QIGjp0ScBpjTFteblLP6YogJvrkjTkSgE1fr+a4YKMYY8LwMmHQMSIyX0SqRaRBRJpFpLIrwpnINmrCVHb8Ko1Ljx0cdBRjTBhe7kE8AFwGfAX0An7krjPmgMQmpdInMwcqCoKOYowJw9Mwmqq6DohV1WZVfQI42ddUJmo8tDSG/3nm/aBjGGPC8HKTukZEEoAlIvK/QBGQ4m8sEy1m5zew6OvN3BZ0EGPMXrxcQVzh7ncDsBMYjDPchjEHbMigfhTsqMfpmG+M6U68PMW00f1Yhz3yag6y3EG51DXNZ3vhBrIGDQ06jjEmhJenmKaKyLsislZE8ltfXRHORL7cvOEAFKxZFHASY0xbXu5B/AO4GVgINPsbx0SbwSPG0jsRthd8HXQUY0wbXgpEhaq+tT8nF5EzgfuBWOAxVb27zfZ04J/AEDfLfe5TUojIBqAKpyg1qerk/clgurejTjyDilt7w5isoKMYY9pot0CIyET342wRuRd4GWcmOQBUtcM2ARGJBR4ETgcKgPkiMlNVV4bsdj2wUlXPFZEcYI2IPKuqraO3naKqpfv8q0yPIWn9ISbO+kIY0w11dAXxpzbLoX/BK3BqJ+eeAqxT1XwAEZkBnA+EFggF0kREgFRgO9DkIbeJFDGx3PSe0G/tG9x22h1BpzHGhGi3QKjqgU4GNAjYHLJcgDOPdagHgJlAIZAGTHOHGAeneMwSEQUeVtVHwn2JiEwHpgMMGWKjkvdEXxQ206s03/pCGNPNeHmK6Y8i0idkOUNEfu/h3BJmXduH3b8JLAEGAkcCD4hIb3fbVFWdCJwFXC8iJ4b7ElV9RFUnq+rknJwcD7FMdzO4XwYFpVVBxzDGtOGlo9xZqlreuqCqO4CzPRxXgNOprlUuzpVCqKuAl9WxDlgPjHa/p9B9LwZewWmyMhEod0A/Csob0GZ7SM6Y7sRLgYgVkcTWBRHpBSR2sH+r+cBIERnqDtVxKU5zUqhNwDfc8/YDDgXyRSRFRNLc9SnAGcByD99peqDc3FxqGqG80LrXGNOdeHnM9Z/A+yLyBE4T0Q+Bpzo7SFWbROQG4B2cx1wfV9UVInKtu/0h4HfAkyKyDKdJ6leqWioiw4BXnHvXxAHPqerb+/7zTE8wYuQoxubEUF74FRmDRwYdxxjjEi9j4Lj9GU7D+Ud8lqq+43ew/TF58mRdsGBB0DHMvtr8BfzjdLj8RRh1RtBpjIkqIrKwvX5mnV5BuE08s1T1bRE5FDhUROJVtfFgBzVRKq2/815VFGwOY8wevNyDmAskicgg4D2cG8tP+hnKRBdN6cepT+3kL0/8O+goxpgQXgqEqGoN8G3gb6p6ITDW31gmmkh8Imu3w9LVNh6TMd2JpwIhIscC3wXecNd5ubltjGcD+vSiqGRH0DGMMSG8FIibgNuAV9ynkIYBs31NZaLOgKw0isqss5wx3YmXCYPmAHNClvOBn/kZykSfATkZfLa2OOgYxpgQHY3m+hdVvUlEXmfvITJQ1fN8TWaiysSxI9iUvxZtakTi4oOOY4yh4yuIZ9z3+7oiiIluP778PH6c/iHUlEDvgUHHMcbQ8WiuC933Oe3tY8xB01oUqoqsQBjTTXTUxLSMME1LrVT1cF8Smai0elstZ99fxYMD/8NZ0ycFHccYQ8dNTOe479e7761NTt8FanxLZKJSat881pcrm/K/CjqKMcbVURPTRgARmaqqU0M23SoiHwO/9TuciR79ho5FgKLCLUFHMca4vPSDSBGR41sXROQ4IMW/SCYaxScmkZ0SS9E2e9TVmO7CS4/oq4HHRSQd555EBc6Q38YcVAMykigq2R50DGOMy0tHuYXAEe5UoKKqFf7HMtHovElDSGzZGXQMY4zL85hKqlrpZxBjfnfVqfDVrKBjGGNcXu5BGNM1Uvui1SU2N7Ux3YQVCNNtPP7BOhJ/V07pZnvU1ZjuoNMCISLJIvIbEXnUXR4pIud0dpwx+6p3Vl8aW6Bo/aqgoxhj8HYF8QRQDxzrLhcAv/ctkYla/XOHAlC4wa4gjOkOvBSI4ar6v0AjgKrWAuJrKhOVBuQdCkDR5g3BBjHGAN4KRIOI9MIdl0lEhuNcURhzUPUb6hSIkm2FAScxxoC3x1zvBN4GBovIs8BU4EofM5kolZI1iOumJHH4oOSgoxhj8NZRbpaILASOwWlaulFVS31PZqKOxMTw4LShMDQ96CjGGDwUCBGZCTwPzFRV6+ZqfNXcK5udpVvoHXQQY4ynexB/Ak4AVorIiyJysYgkeTm5iJwpImtEZJ2I3Bpme7qIvC4iS0VkhYhc5fVYE5kufHQdJ/32g6BjGGPwUCBUdY6qXgcMAx4BvgN0OuSmiMQCDwJnAWOBy0RkbJvdrgdWquoRwMnAn0QkweOxJgLlZKZTXGnPQBjTHXjqSe0+xXQRcC1wFPCUh8OmAOtUNV9VG4AZwPlt9lEgTUQESAW2A00ejzURqG9ONsXVTTbchjHdgJee1P8CVgGn4vxVP1xVf+rh3IOAzSHLBe66UA8AY4BCYBnODfAWj8e25psuIgtEZEFJSYmHWKY769u3H00tUL51Y9BRjIl6XntSD1fVa1X1A/cfcC/CdaZrO8f1N4ElwEDgSOCB1mHFPRzrrFR9RFUnq+rknJwcj9FMd9V3gPN3QPHG1QEnMca0+xSTiJyqqh8AycD5TivQbqr6cifnLgAGhyzn4lwphLoKuFtVFVgnIuuB0R6PNRFo4qTJ3HVyIr1j6oKOYkzU6+gx15OAD4Bzw2xToLMCMR8YKSJDgS3ApcDlbfbZBHwDmCci/YBDgXyg3MOxJgKNOXIK/31SIqR4vVA1xvil3QKhqne4H3+rqutDt7n/cHdIVZtE5AbgHSAWeFxVV4jIte72h4DfAU+KyDKcZqVftXbCC3fsPv860+NocjZFVS0kbskn67Cg0xgT3cRp3elgB5FFqjqxzbqFqjrJ12T7YfLkybpgwYKgY5gD0NTYSHxCAndccTJ3Pj076DjGRDz33/PJ4bZ1dA9iNDAOSBeRb4ds6g146ihnzL6Ki48nKzmG4tKyoKMYE/U6ugdxKHAO0Ic970NUAdf4mMlEub69EykuKw86hjFRr6N7EK8Br4nIsar6aRdmMlGub3ovindUBx3DmKjnZbjvxSJyPU5z066mJVX9oW+pTFTrm5HGl/lbg45hTNTz0lHuGaA/Tqe2OTh9Eqr8DGWi24/OnsR/n5oWdAxjop6XK4gRqnqJiJyvqk+JyHM4j5/2CI2NjRQUFFBXF9kdr5KSksjNzSU+Pj7oKAfsjOMnQfP70NIMMbFBxzEmankpEI3ue7mIjAe2Anm+JTrICgoKSEtLIy8vj7a9wSOFqlJWVkZBQQFDh3baRaXbq2hJYc2WJg7bXkiv7MGdH2CM8YWXJqZHRCQD+A0wE1gJ/K+vqQ6iuro6srKyIrY4AIgIWVlZEXOV9MHyLRz92E5WL50fdBRjopqXKUcfcz/OwZkToseJ5OLQKpJ+Y3b/XADKijYFnMSY6NZRR7mfd3Sgqv754McxBrIH5AFQurUg2CDGRLmOriDsMRITiKxBzn2U0m1FAScxJrp11FHurq4MYkyrzEHDASgrtQmgjAlSp/cgRGQU8Hegn6qOF5HDgfNU9fe+pzvI7np9BSsLKw/qOccO7M0d547rdL8//OEPPP300wwePJicnBwmTZrELbfcclCzRIq4pGSen5bJYUfbE0zGBMnLU0yPArfhPu6qql/izM9gPFq4cCEzZsxg8eLFvPzyy8yfb0/ndObSYwczLjvoFMZENy/9IJJV9Ys2T8k0+ZTHV17+0vfDvHnzuPDCC0lOTgbgvPPO27Xt3HPP5fXXX293+cILL+SVV17purDdxNLtiVSXrGXqxUEnMSZ6eSkQpSIyHHdOaBG5GLC7h/so3GOoGzZsIC8vr93lzZs3M2jQoC5I1/3cPnMzhWWVLOpxDZnGRA4vTUzXAw8Do0VkC3ATcK2foSLNiSeeyCuvvEJtbS1VVVW7rhAWLVrExIm752Jqu7xw4UImTep28zJ1ieyM3pRW1Qcdw5io1mmBUNV8VT0NyAFGAycDx/ucK6JMnDiRadOmceSRR3LRRRdxwgknAHsXgHDLoQUjmmRnZlC2swk6mfHQGOOfjjrK9ca5ehgEvAa85y7fAiwFnu2KgJHi9ttv5/bbbwfgzjvvBJwrhrKyMuLi4rjkkkv2Wl6xYgV33HFHB2eNXNnZ2dQ0Qk15MckZ/YKOY0xU6ugexDPADuBTnBnkfgkkABeo6hL/o0W+t956a4/lk046qcPlaJKV0xeAsoKvrUAYE5COCsQwVT0MQEQeA0qBIapqc0EcoNYrCNO+s08/hfc3zSA7yZqYjAlKRwWidZhvVLVZRNZbcTBdZdCw0QwaGgdqU48aE5SOblIfISKV7qsKOLz1s4gc3O7IxrSxsyWRF1Y08tXqlUFHMSZqtVsgVDVWVXu7rzRVjQv53LsrQ5ros7MlgWn/rmXW3M+DjmJM1PLSD8KYLpc5MA+AUhuwz5jA+FogRORMEVkjIutE5NYw2/9LRJa4r+Ui0iwime62DSKyzN22wM+cpvuJS0ikT5JQWrY96CjGRC0vQ23sFxGJBR4ETgcKgPkiMlNVdzUqq+q9wL3u/ucCN6tq6L8Ip6hqqV8ZTfeWnRpP6Y6KoGMYE7X8vIKYAqxze2I3ADOA8zvY/zLgeR/zmB4mu3cSZRX2FJMxQfHtCgKnB/bmkOUC4OhwO4pIMnAmcEPIagVmiYgCD6vqI+0cOx2YDjBkyJCDENt0F49Pn0JSsz0wZ0xQ/CwQew9f6o4IG8a5wMdtmpemqmqhiPQF3hWR1ao6d68TOoXjEYDJkyd33KvqrVth6zJP4T3rfxicdXenu9mEQftuzIg8KPgi6BjGRC0/m5gKgNApwXKBwnb2vZQ2zUuqWui+FwOv4DRZ9Ug2YdD+WVBQz1/f2xR0DGOilp9XEPOBkSIyFNiCUwQub7uTiKQDJwHfC1mXAsSoapX7+QzgtwecyMNf+n7YlwmDAKZNm8aUKVP4xS9+AThNZw888ADnnXcef/zjH3n33XeZPXt21/2AgLy7fBu//k8511RX0Ss1Leg4xkQd364gVLUJ557CO8Aq4AVVXSEi14pI6HwSFwKzVHVnyLp+wEcishT4AnhDVd/2K2tX8DJhEMBrr73GOeecw5dffgk4kwYdd9xxLFu2jA0bNvD1118zYcKErogcuMwsZ87RHVs3BpzEmOjkaz8IVX1TVUep6nBV/YO77iFVfShknydV9dI2x+Wr6hHua1zrsT2V1wmD6urqePHFF7niiiuoqHAe71y4cCHnnnsu27Zt47777uPkk0+OmkmEMrKcEV23F1kzkzFBsJ7UXcDrhEH33nsv1dXVXHvttaxYsYLa2tpd+2zZsoVjjz2WtWvXRk2ByMzpD8CObZs72dMY4wc/70GYEF4mDNqwYQOvvvoqAHfddRdffvkla9euZdSoUcyYMYP4+HimTZvGqFGjAvoVXSujrzMf9/ZimwLdmCBYgQhQRxMGtc4k969//QuAmJiYPZajwfgjJ7L+xlQGHDU86CjGRCUrEAGwCYO8SezTn7w+MdBk05AYEwS7B2G6r6Q+3PtxA+/Mtc5yxgTBCoTpvmJiuOeTBmbOWxJ0EmOikhUI061lJMexo9yamIwJghUI061lpiaxvdJGdDUmCFYgTLeWkdaLHVW1QccwJipZgTDdWmZ6Ktur64OOYUxUssdcTbf28E3nkLDypaBjGBOV7ArCdGtpWf1JbK6E5qagoxgTdaLuCuLkk0/ea913vvMdrrvuOmpqajj77LP32n7llVdy5ZVXUlpaysUXX7zHtg8//LDT77TJgvbfp+t28PxbdfzxJwWk9ssLOo4xUcWuIHxmkwUdmDVF1fztiwZKCvKDjmJM1Im6K4iO/uJPTk7ucHt2dranK4ZQHU0WZDqXkd0PgO1bNzM04CzGRBu7gugC4SYLMt60Dvm9vbi92WqNMX6xAuGz9iYLMt5k9HOG/N5RWhxwEmOiT9Q1MXW10MmCDjnkkF2TBRlvMvsPJkagumJ70FGMiTp2BdEFbr/9dtasWcOsWbMYMmRI0HF6lAF5o2j8TRo/PGN80FGMiTp2BWG6NYlPQuKToa4i6CjGRB0rEF3MJgvad7d+0MghBR/xkzOCTmJMdImKJiZVDTqC7yL5N/5ndS3vLrJ+EMZ0tYgvEElJSZSVlUX0P6CqSllZGUlJSUFH8UVmaiLbK2uCjmFM1In4Jqbc3FwKCgooKSkJOoqvkpKSyM3NDTqGLzLSktmwze5BGNPVIr5AxMfHM3So9cHtyTLTU1mUH9kF3pjuyNcmJhE5U0TWiMg6Ebk1zPb/EpEl7mu5iDSLSKaXY030GJCTQVJs5DYRGtNd+VYgRCQWeBA4CxgLXCYiY0P3UdV7VfVIVT0SuA2Yo6rbvRxroscff3wuX/00FVpago5iTFTx8wpiCrBOVfNVtQGYAZzfwf6XAc/v57EmkiWlg7ZAQ1XQSYyJKn7egxgEbA5ZLgCODrejiCQDZwI37Mex04Hp7mK1iKzZz7zZQOl+HttT9azffFefg3GWnvWbD1y0/V6w37yvDmlvg58FItwQpu01JJ8LfKyqrQPueD5WVR8BHtn3eHsSkQWqOvlAz9OT2G+OfNH2e8F+88HkZxNTATA4ZDkXaG/M5kvZ3by0r8caY4zxgZ8FYj4wUkSGikgCThGY2XYnEUkHTgJe29djjTHG+Me3JiZVbRKRG4B3gFjgcVVdISLXutsfcne9EJilqjs7O9avrK4Dbqbqgew3R75o+71gv/mgkUgegsIYY8z+i/ixmIwxxuwfKxDGGGPCivoCEW1DeojIYBGZLSKrRGSFiNwYdKauIiKxIrJYRP4TdJauICJ9ROTfIrLa/d/72KAz+U1Ebnb/u14uIs+LSMQNcSwij4tIsYgsD1mXKSLvishX7nvGwfiuqC4QUTqkRxPwC1UdAxwDXB8Fv7nVjcCqoEN0ofuBt1V1NHAEEf7bRWQQ8DNgsqqOx3nA5dJgU/niSZyOxaFuBd5X1ZHA++7yAYvqAkEUDumhqkWqusj9XIXzj8agYFP5T0RygW8BjwWdpSuISG/gROAfAKraoKrlgYbqGnFALxGJA5KJwP5TqjoX2N5m9fnAU+7np4ALDsZ3RXuBCDekR8T/Y9lKRPKACcDnAUfpCn8BfglEy4h/w4AS4Am3We0xEUkJOpSfVHULcB+wCSgCKlR1VrCpukw/VS0C549AoO/BOGm0F4h9GQ4koohIKvAScJOqVgadx08icg5QrKoLg87SheKAicDfVXUCsJOD1OzQXbnt7ucDQ4GBQIqIfC/YVD1btBeIqBzSQ0TicYrDs6r6ctB5usBU4DwR2YDTjHiqiPwz2Ei+KwAKVLX16vDfOAUjkp0GrFfVElVtBF4Gjgs4U1fZJiIDANz34oNx0mgvEFE3pIeICE679CpV/XPQebqCqt6mqrmqmofzv/EHqhrRf1mq6lZgs4gc6q76BrAywEhdYRNwjIgku/+df4MIvzEfYibwA/fzD9hz6KL9FvFTjnYkoCE9gjYVuAJYJiJL3HW/VtU3g4tkfPJT4Fn3j5984KqA8/hKVT8XkX8Di3Ce1ltMBA67ISLPAycD2SJSANwB3A28ICJX4xTKSw7Kd9lQG8YYY8KJ9iYmY4wx7bACYYwxJiwrEMYYY8KyAmGMMSYsKxDGGGPCsgJhooaIZInIEve1VUS2uJ+rReT/fPrOm0Tk+36cu5PvzRGRt7v6e01kscdcTVQSkTuBalW9z8fviMN5Jn+iqjb59R3tnVtEngAeU9WP/fhuE/nsCsJEPRE5uXWOCBG5U0SeEpFZIrJBRL4tIv8rIstE5G13mBJEZJKIzBGRhSLyTuswB22cCixyO2QOF5FFId85UkQWdnQuEblGROaLyFIReUlEkt31T4rIn0VkNnCPiJwUcmW0WETS3K95FfiuX/93M5HPCoQxexuOMzT4+cA/gdmqehhQC3zLLRJ/Ay5W1UnA48AfwpxnKrAQQFW/BipE5Eh321XAk52c62VVPUpVW+dyuDrk3KOA01T1F8AtwPWqeiRwgpsTYIG7bMx+ieqhNoxpx1uq2igiy3CGYGlty18G5AGHAuOBd50hf4jFGV66rQHsORbQY8BVIvJzYBrOfCQdnWu8iPwe6AOk4gwJ0+pFVW12P38M/FlEnsUpKgXu+mKcUU2N2S9WIIzZWz2AqraISKPuvlHXgvP/MwKsUNXOpvCsBUKnvHwJZ9ycD4CFqlomIgM7ONeTwAWqulRErsQZf6fVztYPqnq3iLwBnA18JiKnqepq97trMWY/WROTMftuDZDTOseziMSLyLgw+60CRrQuqGodzlXA34EnPJwrDShym6HavZcgIsNVdZmq3oPTrDTa3TQKWN7eccZ0xgqEMfvInZ72YpwbxEuBJYSfd+AtnGk/Qz2LMynVLA/n+g3ObH/vAqs7iHSTiCx3j691vxfgFOCNffltxoSyx1yN8ZGIvAL8UlW/cpdvAdJV9Tdd8N1zgfNVdYff32UikxUIY3zkTtjTT1XnusViOHCqqpb6/L05wFRVfdXP7zGRzQqEMcaYsOwehDHGmLCsQBhjjAnLCoQxxpiwrEAYY4wJywqEMcaYsP4/fvve6B8qJXoAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(t_days/365, cell_2_metrics[1,:])\n", "plt.plot(t_days/365, cell_2_metrics[4,:])\n", "plt.plot(t_days/365, cell_2_metrics[0,:], '--k')\n", "plt.xlabel('Time (years)')\n", "plt.ylabel('Relative discharge capacity')\n", "plt.legend([r'q$_{LLI}$', r'q$_{LAM}$', 'q'])\n", "plt.ylim((0.7, 1.02))" ] } ], "metadata": { "interpreter": { "hash": "40f086751e8f8f5a467e9309d1f7c4260661a6c2944e5db2eb5ae43b985dbc0f" }, "kernelspec": { "display_name": "Python 3.7.4 ('base')", "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": "3.7.4" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }