一种二阶动力电池的扩展卡尔曼滤波SOC估计

In order to improve the overall performance of electric vehicles and extend battery life, an efficient battery management system is required. because of plateau voltage, It is difficult to estimate SOC because of plateau voltage. Firstly, the battery of second-RC equivalent circuit model is established. The curve fitting method is used to obtain the corresponding parameters which based on a battery charge and discharge data. Simulations based on this circuit model show that the extended Kalman filter algorithm can estimate the SOC of the battery quickly and accurately in the presence of SOC initial error and sense of noise.