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作 者:吴青峰 杨凯义 刘立群[1] 朱彦军[1] 薄利明 杨杰豹 WU Qingfeng;YANG Kaiyi;LIU Liqun;ZHU Yanjun;BO Liming;YANG Jiebao(College of Electronic Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China;Electric Power Research Institute of State Grid Shanxi Electric Power Company,Taiyuan 030001,China;Department of Electrical and Control Engineering,Shanxi University of Engineering and Technology,Yangquan 045000,China)
机构地区:[1]太原科技大学电子信息工程学院,山西太原030024 [2]国网山西省电力公司电力科学研究院,山西太原030001 [3]山西工程技术学院电气与控制工程系,山西阳泉045000
出 处:《电力系统保护与控制》2025年第5期145-155,共11页Power System Protection and Control
基 金:山西省基础研究技术面上项目资助(202203021221153);阳泉市应用基础研究计划项目资助(2022JH059)。
摘 要:针对现存锂电池组内串联单体锂电池健康状态(state of health,SOH)均衡方案需要集中控制器和全局通信、系统建设成本居高不下等问题,提出一种基于一致性算法的锂电池组内单体锂电池SOH主动均衡方案。分析了SOH参数、放电深度(depth of discharge,DOD)和有功功率三者之间的内在联系,设计了有功功率分配和控制算法切换法则。利用一致性算法求解DOD平均值,以达到在无需集中控制器和减少通信信号数量的前提下,实现锂电池组内单体锂电池SOH均衡的控制目标,提高锂电池容量利用率,降低锂电池维护成本。最后,Matlab/Simulink仿真结果说明,所提方案在负荷变化、通信中断、锂电池块数增加和DOD出现测量误差的情况下,均能使锂电池组内串联单体锂电池SOH自均衡。To address the limitations of existing state of health(SOH)balancing strategies for series-connected lithium-ion cells,such as the need for a centralized controller,extensive global communication,and high system costs,this paper proposes an active SOH balancing strategy based on a consensus algorithm.The intrinsic relationship among SOH parameters,depth of discharge(DOD),and active power is analyzed,and an active power allocation and control algorithm switching rules are designed.A consensus algorithm is used to solve the average value of DOD,achieving SOH balancing without requiring a centralized controller and reducing communication signal requirements.This approach enhances battery capacity utilization efficiency and lowers maintenance costs.Finally,Matlab/Simulink simulations demonstrate that the proposed scheme can achieve self-balancing of SOH within a series-connected lithium-ion battery pack,even with load variations,communication interruptions,increasing number of battery cells,and DOD measurement errors.
关 键 词:锂电池 功率控制 主动均衡 健康状态 放电深度 一致性算法
分 类 号:TM912[电气工程—电力电子与电力传动]
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