Introduction - If you have any usage issues, please Google them yourself
The accurate estimation of the charge state (SOC) of lithium battery has always been one of the core tasks of battery management system. There are nonzero mean current drift noises in current sensors, which cause unavoidable estimation errors. In order to reduce the adverse effect of current drift noise on the estimation, a joint extended Calman filter method is proposed. The Thevenin model is used as the equivalent circuit model of lithium battery, and the current drift value is used as the state variable to predict the battery SOC synchronously. Experimental and simulation results show that the proposed method can effectively suppress current drift noise and improve estimation accuracy.