| 引用本文: | 吴青峰,杨凯义,刘立群,等.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[J].电力系统保护与控制,2025,53(05):145-155. |
| WU Qingfeng,YANG Kaiyi,LIU Liqun,et al.An active SOH balancing scheme based on a consensus algorithm for individual lithium-ion cells in a battery packs[J].Power System Protection and Control,2025,53(05):145-155 |
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| 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。 |
| 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 |
| DOI：10.19783/j.cnki.pspc.240619 |
| 分类号: |
| 基金项目: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) |
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| An active SOH balancing scheme based on a consensus algorithm for individual lithium-ion cells in a battery packs |
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WU Qingfeng1, YANG Kaiyi1, LIU Liqun1, ZHU Yanjun1, BO Liming2, YANG Jiebao3
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1. College of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China;
2. Electric Power Research Institute of State Grid Shanxi Electric Power Company, Taiyuan 030001, China; 3. Department
of Electrical and Control Engineering, Shanxi University of Engineering and Technology, Yangquan 045000, China
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| Abstract: |
| 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. |
| Key words: lithium-ion battery power control active balancing state of health depth of discharge consensus algorithm |
