State of charge estimation by square root cubature particle filter approach with fractional order model of lithium-ion battery  

作　　者：LIU YiWen SHI Qin WEI YuJiang HE ZeJia HU XiaoSong HE Lin 

机构地区：[1]School of Automotive and Transportation Engineering,Hefei University of Technology,Hefei 230009,China [2]The State Key Laboratory of Mechanical Transmissions,Chongqing University,Chongqing 400044,China [3]Laboratory of Automotive Intelligence and Electrification,Hefei University of Technology,Hefei 230009,China

出　　处：《Science China(Technological Sciences)》2022年第8期1760-1771,共12页中国科学（技术科学英文版）

基　　金：supported by the National Key Research and Development Program of China (Grant No. 2017YFB0103104);the Key Research and Development Program of Jiangsu Province (Grant No. BE2021006-2);the Innovation Project of New Energy Vehicle and Intelligent Connected Vehicle of Anhui Province,and the Foundation of State Key Laboratory of Automotive Simulation and Control (Grant No. 20201107)。

摘　　要：In this paper, a square root cubature particle filter approach was designed to estimate the state of charge of lithium-ion battery,which not only enhanced the numerical stability and guaranteed positive definiteness of the state covariance, but also increased accuracy and decreased computation quantity. Due to the fractional characteristics of the battery capacitance, a fractional order model was used to formulate the lithium-ion battery. Considering the high accuracy and easy convergence, a particle swarm optimization algorithm was utilized to identify the model parameters. The above-mentioned approach was modelled and translated into C code, which was downloaded into battery control unit of battery management system for experimental validation. Two kinds of dynamic cycles were utilized to validate the proposed approach at different temperatures, where both unscent Kalman filter and cubature Kalman filter were compared with the proposed approach. Experimental results indicate that the proposed approach has better accuracy and robustness, and fractional order model is more accurate than integer order model.Therefore, the square root cubature particle filter with fractional order model of lithium-ion battery is a good candidate to estimate the state of charge.

关 键 词：battery management system integer order model particle filter unscent kalman filter cubature Kalman filter 

分 类 号：TM912[电气工程—电力电子与电力传动]