Abstract
State of charge (SOC) is the key parameter of electric vehicle power battery. This paper proposes an improved SOC estimation method for lithium-ion battery used in a wide temperature range. First, a equivalent circuit is used to establish the mathematical model of power battery, the genetic algorithm (GA) is used to identify the model parameters at different ambient temperatures, simultaneously. Then, adaptive extended Kalman filter (AEKF) is utilized to estimate battery SOC at different ambient temperatures. The accuracy and robustness of the proposed algorithm are verified under different operating conditions and various initial SOC levels. It is found that the proposed SOC estimation method has the wide temperature adaptability, and could converge to the reference value gradually within the steady-state error 2%.
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