中国机械工程

• 机械基础工程 • 上一篇    下一篇

基于荷电状态的锂离子电池组主动均衡控制

张凯1;赵鹏2;王友仁1;徐智童1;陈则王1   

  1. 1.南京航空航天大学自动化学院,南京,211106
    2.中航工业雷华电子技术研究所,无锡,214063
  • 出版日期:2020-08-25 发布日期:2020-09-17
  • 基金资助:
    中国航空科学基金资助项目(20183352030);
    江苏省研究生科研与实践创新计划资助项目(SJCX18_0102)

SOC-based Active Equalization Control for Lithium-ion Battery Packs

ZHANG  Kai1;ZHAO Peng2;WANG Youren1;XU Zhitong1;CHEN Zewang1   

  1. 1.College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,211106
    2.Aviation Industry Corporation Leihua Electronic Technology Research Institute,Wuxi,Jiangsu,214063
  • Online:2020-08-25 Published:2020-09-17

摘要: 针对锂离子电池组中单节电池间的差异性会对电池组的可使用寿命以及容量利用率造成严重影响,设计了一种电感式主动均衡电路。基于递推最小二乘扩展卡尔曼滤波(RLS-EKF)算法在线估算锂离子电池的荷电状态(SOC),同时以SOC值作为均衡准则对锂离子电池组实施均衡控制,实现了一种主动均衡控制策略,并开发了锂离子电池组能量均衡管理系统测试平台。实验结果表明,RLS-EKF算法的SOC估算误差在3.5%以内,并且所提出的主动均衡控制方法极大改善了电池间的差异性,电池的容量利用率大幅度提高。

关键词: 锂离子电池组, 荷电状态, 主动均衡控制策略, 能量均衡管理系统

Abstract: The differences between single cells in the lithium-ion battery packs seriously affected the capacity utilization and remaining useful life of the battery packs. Therefore, an inductive active equalization circuit was designed. Based on recursive least square extended Kalman filter(RLS-EKF) algorithm, the SOC of lithium-ion batteries would be estimated online. And SOC was used as the equalization criterion to realize a novel strategy based on RLS-EKF algorithm of active equalization control. A test platform for energy balance management system of lithium-ion battery packs was designed and developed. Experimental results show that the SOC estimation errors of RLS-EKF algorithm are within 3.5%, the proposed active equalization control method may effectively improve the inconsistency among individual cells and the capacity utilization of the batteries.

Key words: lithium-ion battery pack, state of charge(SOC), strategy of active equalization control, energy balance management system

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