SOC estimation of power battery based on extended Kalman filter
In order to solve the problem of large errors in state of charge(SOC)estimation by Kalman filter for lithium-ion battery,a model of a lithium-ion battery second-order resistance capacitance(RC)circuit is built based on extended Kalman filter(EKF)algorithm,which uses Taylor series to expand a nonlinear function linearly.The SOC curves of dynamic stress test,city cycle,mixed pulse power and pulse conditions are estimated by MATLAB simulation,the results are compared with the SOC curve estimated by ampere integration method.The results show that the maximum error of dynamic stress measurement is 0.015,the mean square deviation of the four lithium-ion battery is less than 0.003 2,the error distribution is more stable and the curve is more reliable,the EKF algorithm is more effective and accurate in estimating SOC of lithium-ion battery.
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