4.8 Article

A Novel Active Equalization Method for Series-Connected Battery Packs Based on Clustering Analysis With Genetic Algorithm

期刊

IEEE TRANSACTIONS ON POWER ELECTRONICS
卷 36, 期 7, 页码 7853-7865

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2021.3049166

关键词

Batteries; Topology; Switches; Electric vehicles; Genetic algorithms; State of charge; Inductors; Battery management; bidirectional equalization; clustering analysis; genetic algorithm; lithium batteries

资金

  1. National Natural Science Foundation of China [52007085]
  2. Postgraduate Research and Practice Innovation Program of Jiangsu Province [SJCX20_0127, SJCX20_0129]

向作者/读者索取更多资源

The article proposes an active equalization circuit and a novel equalization strategy to achieve energy redistribution, with a bidirectional equalization topology and innovative equalization strategy based on clustering analysis and genetic algorithm. The proposed methods effectively improve battery pack performance and energy distribution, achieving accurate identification of target cells and optimization of equalization speed.
Battery pack performance is the main concern for electric vehicles and energy storage systems. However, charge imbalance is inevitable due to inconsistent manufacturing techniques and environmental conditions. Charge imbalance reduces the power performance and available energy of battery packs. Hence, it is necessary to perform battery equalization. This article proposes an active equalization circuit and a novel equalization strategy to achieve energy redistribution. A bidirectional equalization topology consisting of a forward transformer and switch matrix is proposed first. Then, an innovative equalization strategy based on clustering analysis and genetic algorithm (GA) is developed. Clustering analysis is introduced to identify the target cells to be balanced. To further increase the speed of the equalization process, GA is employed to optimize the classification results. Finally, a series of experiments were conducted to confirm the effectiveness of the proposed topology and the strategy. Both the simulation and experimental results validate that the proposed equalization strategy not only improves the inconsistency but also increases the equalization speed. In practical battery pack experiments, the pack capacity is improved by 16.84% after equalization, and the equalization time is decreased by 23.8% using the proposed method.

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