Abstract
This paper presents an approach to state of charge (SOC) estimation of lithium-ion battery based on second-order extended Kalman filter (EKF). Aiming at the problem of inaccurate estimation of the SOC during the operation of lithium-ion battery, the second-order EKF approach is chosen to reduce estimation error. Firstly, the internal characteristics of lithium-ion battery are fully considered, and the equivalent circuit model is established. The parameters are identified according to battery charging and discharging. Then the state space model of the battery is built. Finally, the simulation is carried out under the discharging condition of lithium-ion battery. The simulation results demonstrate that the second- order EKF method can improve estimation effect compared with the first-order EKF method.
Published Version
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