Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization

Yuan-Kai Liu, Kun-Che Ho, Yi-Hua Liu, S. Wang
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引用次数: 1

Abstract

In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 % and the charging time can be shortened by 18.4 %.
基于粒子群优化的多级恒流充电方法的最优充电方式研究
本研究采用粒子群优化方法搜索多级恒流充电法的最优充电方式。建议只使用锂离子电池的等效模型;因此,可以避免耗时的实验。本研究同时考虑了充电时间和温升。与CC-CV法相比,平均温升提高了42.1%,充电时间缩短了18.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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