SOC distribution-based modeling for lithium-ion battery for electric vehicles using numerical optimization  

作　　者：胡晓松 孙逢春 邹渊 

机构地区：[1]National Engineering Laboratory for Electric Vehicles,Beijing Institute of Technology

出　　处：《Journal of Harbin Institute of Technology(New Series)》2011年第5期49-54,共6页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the National Natural Science Foundation of China (Grant No.50905015);the National High Technology Research and Development Program of China (Grant No.2003AA501800)

摘　　要：In order to simulate electrical characteristics of a lithium-ion battery used in electric vehicles in a good manner,a three-layer battery model is established.The charge of the lithium-ion battery is assumed to distribute among the three layers and their interaction is used to depict hysteresis and relaxation effect observed in the lithium-ion battery.The model parameters are calibrated and optimized through a numerically nonlinear least squares algorithm in Simulink Parameter Estimation Toolbox for an experimental data set sampled in a hybrid pulse test of the battery.Evaluation results showed that the established model is able to provide an acceptable accuracy in estimating the State of Charge of the lithium-ion battery in an open-loop fashion for a sufficiently long time and to describe the battery voltage behavior more accurately than a commonly used battery model.The battery modeling accuracy can thereby satisfy the requirement for practical electric vehicle applications.In order to simulate electrical characteristics of a lithium-ion battery used in electric vehicles in a good manner, a three-layer battery model is established. The charge of the lithium-ion battery is assumed to dis- tribute among the three layers and their interaction is used to depict hysteresis and relaxation effect observed in the lithium-ion battery. The model parameters are calibrated and optimized through a numerically nonlinear least squares algorithm in Simulink Parameter Estimation Toolbox for an experimental data set sampled in a hybrid pulse test of the battery. Evaluation results showed that the established model is able to provide an acceptable accuracy in estimating the State of Charge of the lithium-ion battery in an open-loop fashion for a sufficiently long time and to describe the battery voltage behavior more accurately than a commonly used battery model. The battery modeling accuracy can thereby satisfy the requirement for practical electric vehicle applications.

关 键 词：battery modeling SOC distribution numerical optimization lithium-ion battery electric vehicle 

分 类 号：TM912.1[电气工程—电力电子与电力传动]