首页|面向分布式光伏发电的锂电池组均衡及控制策略研究

面向分布式光伏发电的锂电池组均衡及控制策略研究

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对于分布式光伏发电储能系统,其电池均衡系统需满足可靠性高,拓扑结构简单、均衡效率高等优点.针对现有串联锂电池均衡过程中能量转换率低、均衡速度慢的问题,基于多相交错式均衡电路,提出一种串联锂电池组电量均衡及控制策略.该策略采用博弈论的思想,建立以独立均衡器为参与方、开关导通时间为策略、电池SOC变化为收益的纳什均衡模型,并利用改进的粒子群算法求解纳什均衡,获得均衡电路最优控制方案.最后,在PSIM平台搭建6节电池串联均衡仿真模型,对其在闲置状态、放电状态下进行测试.结果表明,该设计避免了电池在均衡过程中被反复充电,且大大缩短了电池SOC均衡时间,验证了所提策略的有效性,提高了均衡系统的性能.
Research on Balance and Control Strategy of Lithium Battery Pack for Distributed Photovoltaic Power Generation
For distributed photovoltaic energy storage systems,their battery balancing system needs to meet the advantages of high reliability,simple topology structure,and high balancing efficiency.Aiming at the problems of low energy conversion rate and slow balancing speed in the existing series lithium battery balancing process,a series lithium battery pack power balancing and control strategy is proposed based on multiple intersecting staggered balancing circuits.This strategy adopts the idea of game theory to establish a Nash equilibrium model with independent equalizers as participants,switch conduction time as strategy,and battery SOC change as profit.The improved particle swarm optimization algorithm is used to solve the Nash equilibrium and obtain the optimal control scheme of the equilibrium circuit.Finally,a simulation model for series balancing of 6 batteries was built on the PSIM platform and tested under idle and discharge conditions.The results indicate that the design avoids repeated charging of the battery during the balancing process and greatly shortens the SOC balancing time of the battery,verifying the effectiveness of the proposed strategy and improving the performance of the balancing system.

battery equilibriumstate of chargegame theoryNash equilibriumparticle swarm optimization algorithm

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上海电气风电集团股份有限公司,上海 200233

电池均衡 荷电状态 博弈论 纳什均衡 粒子群算法

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(5)
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