刘欣博,施俊甫,黄学昊
LIU Xinbo,SHI Junfu,HUANG Xuehao

• 1:北方工业大学电气与控制工程学院

摘要(Abstract)：

蓄电池储能系统广泛应用于微电网和新能源汽车等领域，在蓄电池组中，单体蓄电池的性能会影响整个电池组的性能，需要均衡控制消除蓄电池间的差异性，保证整个蓄电池组的使用性能。针对以上问题，选择串联蓄电池组进行均衡研究，以荷电状态（State of Charge,SOC）作为均衡依据，选取二阶RC等效电路的电池模型，通过混合脉冲功率特性实验得到电池数据，用Matlab进行参数辨识，根据扩展卡尔曼滤波原理对SOC进行估计。基于Cuk均衡电路，以各蓄电池SOC的方差作为判断条件控制蓄电池组的均衡工作开启。仿真和实验验证了二阶RC等效电路的电池模型合理性和基于扩展卡尔曼滤波估计SOC的准确性，以及基于Cuk均衡电路的均衡电流控制策略的有效性，实现了均衡电流控制。
Battery energy storage system is widely used in micro-grid and new energy vehicles. In battery packs, the performance of single battery will affect the performance of the entire battery pack. Therefore, it is necessary to balance the control to eliminate the difference between the batteries and ensure the performance of the entire battery pack. This paper selects the series battery pack for equalization research, using the state of charge(SOC) as the equalization basis, selects a second-order RC equivalent circuit battery model, obtains the battery data by the hybrid pulse power characteristic experiment, uses Matlab for parameter identification, and estimates the SOC according to the extended Kalman filter principle. Based on the equalization circuit of Cuk, the variance of each battery SOC is used as the judgment condition to control the equalization of the battery. The simulation and experiment verify the rationality of the battery model of the second-order RC equivalent circuit, the accuracy of SOC estimation based on extended Kalman filter, and the equalization current control strategy based on Cuk equalization circuit, which achieves equalizing current control.

关键词(KeyWords)： 均衡电流;Cuk电路;定量控制;SOC估计;扩展卡尔曼滤波
equalization current;Cuk circuit;quantitative control;SOC estimation;extended Kalman filter

Abstract:

Keywords:

基金项目(Foundation): 北京市教委科技项目“可灵活扩容的交流微网系统稳定运行控制”（KM201910009010）

作者(Author): 刘欣博,施俊甫,黄学昊
LIU Xinbo,SHI Junfu,HUANG Xuehao

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