A Real-time the state of Charge of Storage Battery Estimation Based on the Kalman FilteringTheory for Electric Vehicle

The accurate state of charge (SOC) is required for the battery of electric vehicles. The various estimation methods for the SOC of the storage battery have been proposed. However, any method can not accurately predict the residual capacity. A new estimation method of SOC on the storage battery is proposed in the paper. This method is based on the current method and utilize Kalman filter to real time estimate the SOC of battery. This method can minimize the estimation error. We imitate the SOC measurement system by the MATLAB simulation tool.