Lithium ion battery model based on Kalman filter

In this paper, the electrochemical properties of lithium-ion batteries are studied. Primary factors, such as state-of-charge, and battery current are separately experimented. Kalman filter algorithm is applied to analyze the long-time recorded data, so as to identify the over-potential features during each stage. According to the features, lumped circuit elements can be adopted to mimic the battery´s dynamic behavior.