SOC estimation of power battery based on AUKF
XIE Yongdong
HE Zhigang
CHEN Dong
ZHOU Hongjian
Abstract：The UKF method can be used to estimate the SOC of power battery,however,the uncertainty of the system noise may cause that the algorithm does not converge,and the estimation performance of the algorithm is affected by the accuracy of the model.An AUKF is used to estimate the dynamic SOC of an electric vehicle.At first,an equivalent circuit model appropriate for SOC estimation is built and the corresponding parameters of the battery model are identified.The AUKF is used in this model for online estimation of battery SOC in unknown noise environment.Experimental results show that the estimation error of UKF algorithm is beating between-0.04～0.06,while the estimation error of AUKF algorithm is kept within 0.05 and the SOC estimation error is corrected in real time.
Keywords：electric vehiclepower batterySOC estimationadaptive unscented Kalman filter
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 129-137 )