An Improved Electric Model with Online Parameters Correction for Large Li-Ion Battery Packs

Lithium-ion battery packs based battery energy storage system (BESS) has proved its high potential in energy storage. In studying the BESS, A precise battery model is critical for implementing the system simulation, estimating the SOC, SOH of the battery, as well as optimizing the design. An electric model which can reflect the hysteresis effect and dynamic characteristic is adopted in this paper, and based on that, we proposed a novel method for battery model identification and on-line correction of model parameters by extended Kalman filter (EKF). Thus the parameters of battery model can be regulated in the progress of battery charge and discharge. The method is proved to be efficient and accurate by comparing the simulation result with the experiment data.