电池(电)
恒流
淡出
涓流充电
锂离子电池
汽车工程
粒子群优化
计算机科学
电压
降级(电信)
数码产品
电气工程
工程类
功率(物理)
物理
机器学习
操作系统
量子力学
作者
Xiao Hu,Yusheng Zheng,Xianke Lin,Yi Xie
出处
期刊:IEEE Transactions on Transportation Electrification
日期:2020-02-28
卷期号:6 (2): 427-438
被引量:71
标识
DOI:10.1109/tte.2020.2977092
摘要
Lithium-ion (Li-ion) batteries have been extensively used in electric vehicles, portable electronics, cell phones, and laptops. The charging protocol, as one of the most critical technologies for Li-ion battery systems, has a significant impact on battery performance. Charging current affects battery degradation and charging time, and therefore, it needs to be carefully optimized. To this end, a novel charging protocol using a series of constant charging currents has been developed, which considers the charging time and the battery capacity fade simultaneously. These two conflicting charging objectives are traded off by solving a multiobjective optimization problem based on battery electrothermal-aging behavior. Particle swarm optimization has been applied to obtain the optimal charging current profile. Three optimal charging strategies for minimum charging time, minimum battery aging, and balanced charging performance are obtained by changing the weight factor. The proposed balanced charging is capable of reducing the charging time significantly with a negligible increase in capacity degradation compared with the 0.5 C constant-current constant-voltage (CC-CV) strategy recommended by the manufacturer.
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