State of charge estimation of lithium ion batteries using an extended single particle model and sigma-point Kalman filter

We present a method to estimate the state of charge (SOC) of lithium ion batteries using an extended single particle model (ESPM) and the sigma-point Kalman filter (SPKF) algorithm. ESPM is a computationally efficient battery electrochemical model while the SPKF algorithm allows the battery SOC to be estimated with high accuracy and stability. The proposed ESPM-SPKF method is stable, efficient and can be adopted for advanced battery management systems in large-scale battery energy storage systems.