Estimation of state-of-charge using cubature Kalman filter based on online model

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Jia, Long^1 ; Wang, Lu^1 ; Zhang, Qi^1 ; Tang, Zhihao^1 ; Wang, Dafang^1

School of Automotive Engineering, Harbin Institute of Technology, Weihai

264209, China^1

关键词: Cubature kalman filters;    First order;    On-line estimation;    Online modeling;    SOC estimations;    State of charge;    Third order accuracy;    Time varying;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/4/042043/pdf
DOI  :  10.1088/1757-899X/382/4/042043

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The parameters of batteries are time-varying and non-linear in different working conditions, so the method using FFRLS is proposed to estimate the parameters of batteries online. Based on online estimation of battery parameters, the method using CKF is employed to estimate SOC instead of traditional EKF. During the change from nonlinear to linear, EKF only keep the first order accuracy, however, CKF can keep the third order accuracy. An experiment has been carried out to evaluate the performances of the proposed methods. Compared with the traditional EKF, CKF based on online model has better SOC estimation accuracy.