1. Introduction
Ambient temperature and charge/discharge rate greatly influence the stability of materials and chemical
reaction inside cells, which may lead to capacity decline[1-2]. When establishing a model of cell capacity
decline, there are generally 2 methods: (1) one method is mainly based on chemical change inside cells,
such as the loss of lithium-ion[3], the growth of SEI and the resistance of cells[4-5], which is very
accurate but mathematically complicated; (2) the other method is mainly based on accelerated-life
experiments, which directly reflects how external stress such as ambient temperature and
charge/discharge rate which influence the capacity decline and are widely adopted in both academic
researches and practical use. Meng Xiangfeng[6] and Liu Peng[7] have established a model of battery life
prediction based on temperature and charge/discharge rate.
1. IntroductionAmbient temperature and charge/discharge rate greatly influence the stability of materials and chemicalreaction inside cells, which may lead to capacity decline[1-2]. When establishing a model of cell capacitydecline, there are generally 2 methods: (1) one method is mainly based on chemical change inside cells,such as the loss of lithium-ion[3], the growth of SEI and the resistance of cells[4-5], which is veryaccurate but mathematically complicated; (2) the other method is mainly based on accelerated-lifeexperiments, which directly reflects how external stress such as ambient temperature andcharge/discharge rate which influence the capacity decline and are widely adopted in both academicresearches and practical use. Meng Xiangfeng[6] and Liu Peng[7] have established a model of battery lifeprediction based on temperature and charge/discharge rate.
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