动力锂电池管理系统的设计及SOC的估算

A Design of Lithium Battery Management System and the Estimation of SOC

采用一种分布式控制方案,实现了对120节动力锂电池的电压、电流、温度等数据实时采集;为准确估计蓄电池的荷电状态(SOC)提供了一种可靠的硬件设计方案.结合安时积分法、开路电压法以及卡尔曼滤波器的复合方法,实现该蓄电池组在放电状态下SOC的估计.利用MATLAB工具建立数学模型,结果表明,该算法对锂电池组的SOC估计具有较高精度.

This study used a distributed control scheme to achieve real-time data acquisition on the 120 power lithium battery and to provide a reliable design scheme for the accurate estimation of the battery state of charge （SOC）. When combined with Ampere-Hour integrating method and open circuit voltage method, using the way of kalman filtering compound method, it realized the SOC estimate of the battery in a discharge state. Using MATLAB tools to establish the mathematical model of the SOC algorithm, and the results show that the algorithm is estimated with high accuracy.