Real time state of charge prediction using Kalman Filter

This paper describes a method that uses to predict and estimation of the state-of-charge (SOC), instantaneous available power information to very accurately. We proposed a Kalman Filtering based a prediction approach which has been implemented into the microcontroller for the real time dynamic state estimation. This paper we also proposed a Kalman Filter based method that uses dynamic cell model and state-of-charge side information to very accurately predict the battery power.