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基于自适应模糊PID算法的锂电池组双层均衡控制
引用本文:吴文进,郭海婷,苏建徽,赖纪东.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.
作者姓名:吴文进  郭海婷  苏建徽  赖纪东
作者单位:1.安庆师范大学电子工程与智能制造学院,安徽 安庆 246133;2.合肥工业大学电气与自动化工程学院, 安徽 合肥 230009;3.合肥综合性国家科学中心能源研究院(安徽省能源实验室),安徽 合肥 230071
基金项目: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)
摘    要: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。

关 键 词:锂电池  双层均衡电路  均衡控制  自适应模糊PID算法  Buck-Boost电路
收稿时间:2023/5/11 0:00:00
修稿时间:2023/9/8 0:00:00

Dual-layer equalization control of lithium batteries based on an adaptive fuzzy PID algorithm
WU Wenjin,GUO Haiting,SU Jianhui,LAI Jidong.Dual-layer equalization control of lithium batteries based on an adaptive fuzzy PID algorithm[J].Power System Protection and Control,2024,52(2):111-117.
Authors:WU Wenjin  GUO Haiting  SU Jianhui  LAI Jidong
Affiliation: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
Abstract:In order to improve the equalization efficiency of battery recombination, a dual-layer equalization topology circuit of lithium battery pack is designed based on the traditional Buck-Boost equalization topology circuit. Buck-Boost circuit is used for equalization in the battery pack and bidirectional flyback transformer is used for equalization between the battery pack. The adaptive fuzzy PID algorithm is adopted in the equalization control strategy, and the battery SOC is taken as the equalization variable. The fuzzy control algorithm is used to adjust the PID parameters, which shortens the equalization time and improves the equalization efficiency. In Matlab/Simulink, a dual-layer equalization topology circuit and an adaptive fuzzy PID control algorithm model for lithium battery pack are built. The experimental results show that the battery pack equalization topology and its control strategy can improve the equalization time efficiency by an average of 58.36% under different working conditions, which verifies the effectiveness of the scheme.
Keywords:lithium battery  dual-layer equalization circuit  equalization control  adaptive fuzzy PID algorithm  Buck- Boost circuit
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