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基于k均值聚类算法的无均衡自适应锂电储能研究 被引量:2

Research on non-balancing adaptive lithium electric energy storage based on k-means clustering algorithm
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摘要 针对大规模锂离子电池储能系统中因单体锂电池之间性能差异而产生的不均衡问题,提出了一种新型无均衡自适应锂电储能方法。基于无均衡的思想,识别检测用电负荷的用电差别,采用k-means算法对全体符合要求的单体锂电池进行聚类,建立锂电池组的性能模型。仿真实验结果表明,该算法整合性能差异较小的单体锂离子电池组成的电池组输出稳定,根据负荷和单体锂离子电池的约束条件,重新组合锂电池组以满足负荷要求。 Aiming at the unbalance problem caused by the performance difference of single lithium batteries in large-scale lithium ion battery energy storage system, a new non-balancing adaptive lithium battery energy storage method is proposed. Firstly, based on the idea of non-balancing, the difference of electricity consumption load is identified and detected. Then, k-means algorithm is adopted to cluster all single lithium batteries meeting the requirements. Finally, the performance model of lithium battery pack is established. Simulation experiment results show that the output of battery pack composed of single lithium ion battery with small performance difference is stable in this algorithms. According to the constraints of load and single lithium ion battery, the lithium battery pack is recombined to meet the load requirements.
作者 罗朋 吴健威 于跃 杨燕霞 Luo Peng;Wu Jianwei;Yu Yue;Yang Yanxia(College of Electronics and Information Engineering,Guangdong Ocean University,Zhanjiang,Guangdong 524088)
出处 《电气技术》 2020年第5期33-40,54,共9页 Electrical Engineering
基金 广东海洋大学创新强校项目(230419086)。
关键词 无均衡 锂电池系统 K均值聚类算法 non-balancing lithium battery system k-means
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