基于动力锂离子电池健康状态的全寿命周期优化充电策略
CSTR:
作者:
通讯作者:

夏向阳(1968—),男,博士,教授,主要从事新能源并网接入和柔性直流输电控制方面的研究;E-mail:307351045@qq.com

中图分类号:

TM863

基金项目:

国家自然科学基金(51977014);2020年国家级大学生创新创业训练计划项目(202010536007)


Life cycle optimal charging strategy based on the SOH of power lithium ion battery
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    摘要:

    针对目前采用经验充电电流值的恒流恒压(CC-CV)充电策略导致电池老化严重的问题,提出一种优化充电策略。从电池整个寿命周期角度出发,基于锂离子电池容量衰退模型,以电池最小衰退容量为目标,采用数据库动态规划(DDP)对电池寿命周期进行规划,得到不同循环阶段下对应寻优充电电流分布,并分析充电电流对电池容量衰退的影响。最后,在Matlab/Simulink中与现有恒流恒压充电策略进行仿真分析对比,结果表明,该策略能够有效延长电池循环寿命。

    Abstract:

    In the view of the battery serious aging caused by the constant-current-constant-voltage(CC-CV) charging strategy which adopts the empirical charging current values, this paper proposes an improved CC-CV charging strategy. Firstly, with the goal of minimum decline capacity of battery, the database dynamic programming (DDP) is employed for the planning of the battery life cycle on the basis of the capacity decline model of lithium-ion battery. After that, the corresponding optimal charging current distribution under different cycle stages is obtained, and the influence of the charging current on the battery capacity decay is also analyzed. Finally, in MATLAB/Simulink simulation, the proposed strategy is compared with the existing CC-CV charging strategy. It is shown that this strategy can effectively extend the battery cycle life.

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夏向阳,邓子豪,张嘉诚,等.基于动力锂离子电池健康状态的全寿命周期优化充电策略[J].电力科学与技术学报,2022,37(6):17-24.
XIA Xiangyang, DENG Zihao, ZHANG Jiacheng, et al. Life cycle optimal charging strategy based on the SOH of power lithium ion battery[J]. Journal of Electric Power Science and Technology,2022,37(6):17-24.

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  • 在线发布日期: 2023-01-16
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