Abstract
Lithium-ion batteries (LIBs) are used as central power portion in the electric vehicles (EVs). The residual charge of the battery is indicated as a state of charge (SOC), which is estimated using battery management systems (BMS). Several methods have been discussed in the literature to estimate the SOC of batteries, however, most of these methods do not consider the effect of temperature, aging, different C-rate, etc. This paper proposes a method based on extended Kalman filter (EKF) that also considers the temperature variations using the temperature-dependent battery model. A battery model has been used that considers the temperature effects on open-circuit voltage (VOC), capacity, and parameters of the battery in a wide temperature range. According to simulation results, SOC estimation shows a smaller root-mean-square error (RMSE) as compared with the standard EKF based estimation method.
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