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
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1.长沙理工大学;2.衡阳市产商品质量监督检验所

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基金项目:

国家自然科学基金项目(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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1.Changsha University of Science and Technology;2.Hengyang City Product Quality Supervision and Inspection Institute

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    摘要:

    针对目前采用经验充电电流值的恒流恒压(current constant current and constant voltage,CC-CV)充电策略导致电池老化严重的问题,本文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(database dynamic programming,DDP)对电池寿命周期进行规划,得到了不同循环阶段下对应寻优充电电流分布,并分析了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对比分析,结果表明,该策略能够有效延长电池循环寿命。

    Abstract:

    Aiming at the problem of serious battery aging caused by the current constant current and constant voltage(CC-CV) charging strategy using empirical charging current values, this paper proposes an improved CC-CV charging strategy. From the perspective of battery life cycle, based on the capacity decline model of lithium-ion battery, the minimum decline capacity of battery is taken as the goal, and the database dynamic programming (DDP) is used to plan the battery life cycle, 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 analyzed. Finally, in MATLAB/Simulink, it is compared and simulated with the existing CC-CV charging strategy. The results show that this strategy can effectively extend the battery cycle life.

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  • 收稿日期:2021-04-23
  • 最后修改日期:2021-04-23
  • 录用日期:2021-06-24
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