Adaptive SOC Estimation Method through Compensating Initial Value Based on Extended Kalman Filter

The state of charge (SOC) estimation of battery pack influences the performance in electrical application. The Ah-counting method is used to estimate the SOC estimation the battery pack, but it has a disadvantage. If the initial value is uncertain, the estimation performance of the SOC is not guaranteed. Therefore, the electrical application has low performance because it cannot utilize a maximum capacity. This paper proposes the adaptive SOC estimator to improve the performance of the SOC estimation even though the initial value is incorrect. The performance of the proposed estimation method is verified by simulation and electrical characteristic experiments using Matlab/Simulink.