为提高电池重组时的均衡效率，在传统Buck-Boost均衡拓扑电路的基础上，设计了一种锂电池组双层均衡拓扑电路。组内采用Buck-Boost电路均衡，组间利用双向反激变压器进行均衡。均衡控制策略采用自适应模糊PID算法，以电池荷电状态(state of charge, SOC)为均衡变量，利用模糊控制算法对PID参数进行调节，缩短了均衡时间，提高了均衡效率。在Matlab/Simulink中搭建了锂电池组双层均衡拓扑电路和自适应模糊PID控制算法模型。实验结果表明：在不同工作状态下，所提出的电池组均衡拓扑及其控制策略将均衡时间效率平均提高了58.36%，验证了该方案的有效性。
国家重点研发计划项目资助(SQ2020YFF 0402315)；安徽高校协同创新项目资助(GXXT-2021-025)；储能技术学院质量工程项目资助(2021cyxy045)
1. School of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing 246133, China; 2. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China; 3. Institute of Energy, Hefei Comprehensive National Science Center (Anhui Energy Laboratory), Hefei 230071, China
吴文进,郭海婷,苏建徽,等.基于自适应模糊PID算法的锂电池组双层均衡控制[J].电力系统保护与控制,2024,52(2):111-117.[WU Wenjin, GUO Haiting, SU Jianhui, et al. Dual-layer equalization control of lithium batteries based on an adaptive fuzzy PID algorithm[J]. Power System Protection and Control,2024,V52(2):111-117]
复制
