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SOC distribution-based modeling for lithium-ion battery for electric vehicles using numerical optimization 被引量:2

SOC distribution-based modeling for lithium-ion battery for electric vehicles using numerical optimization
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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.
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 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)
关键词 battery modeling SOC distribution numerical optimization lithium-ion battery electric vehicle battery modeling SOC -distribution numerical optimization lithium-ion battery electric vehicle
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