基于扩展卡尔曼滤波器的锂电池SOC估算仿真研究

为弥补动力电池组中安时积分法、开路电压法估算锂电池荷电状态(SOC,StateOfCharge)的缺点,在Matlab环境下介绍了一种使用扩展的卡尔曼滤波器估算SOC的仿真方法,并对整个过程的模型建立、电路搭建、参数辨识以及软件使用进行了详细的阐述。通过仿真实验表明其估算误差不超过3%,验证了方法的准确性以及对初值的不敏感性,是一种稳定的、可靠性高的SOC估算方法。

Simulation Research of Lithium Battery SOC Estimation Based on Extended Kalman Filter

In order to make up for the shortcomings of ampere-hour integral method and open circuit voltage method in the power battery pack,a method based on extended kalman filter is introduced.The method is simulated in the Matlab environment,and this paper makes a detailed introduction about the model establishment,circuit construction,parameter identification and soft us ing.The simulation shows that the estimation error does not exceed 3%,which proves the method is accurate and insensitive to the initial value.This method is a stable and reliable SOC estimation method.