基于马尔可夫的锂电池组充电均衡控制研究*

Study of balanced control of charging lithium batteries based on Markov

摘要:

针对动力锂离子电池组充电后期过程中因单体电池性能差异而造成的可用容量不均衡、使用寿命缩短等问题,改进了一种结构较为简单、能量转移灵活的无损能量转移型均衡电路；提出了基于马尔可夫决策算法的动力锂电池组充电均衡控制方案,对单体电池间能量转移方向进行预测,决策出最优转移路径。通过实验结果分析,均衡效率、均衡效果均明显提高,实现了动力锂离子电池组充电后期过程中的充电均衡,证明了该均衡电路及均衡控制方案的可行性。

Abstract:

A lossless energy transfer equalizer circuit which was relatively simple and flexible was improved, aimed at the problems such as the unbalanced available capacity and the shorten service life caused by the different monomer battery performance during the latter part of lithium-ion battery pack charging. What’s more, the power lithium-ion battery pack charging balance control program was proposed based on Markov decision algorithm. Use the program to predict the direction of energy transfer to between the cells and make the optimal migration path. The analysis of the experimental results indicate that the balance efficiency and the balance results were significantly improved, and charging equalizer during the latter part of lithium-ion battery pack charging was achieved. Finally, the study proved the feasibility of the equalization circuit and balance control program.