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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:HU Xiao-song,SUN Feng-chun,Zhou Yuan.SOC distribution-based modeling for lithium-ion battery for electric vehicles using numerical optimization[J].Journal of Harbin Institute Of Technology(New Series),2011,18(5):49-54.DOI:10.11916/j.issn.1005-9113.2011.05.009.
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SOC distribution-based modeling for lithium-ion battery for electric vehicles using numerical optimization
Author NameAffiliation
HU Xiao-song National Engineering Laboratory for Electric Vehicles,Beijing Institute of Technology,Beijing 100081,China 
SUN Feng-chun National Engineering Laboratory for Electric Vehicles,Beijing Institute of Technology,Beijing 100081,China 
Zhou Yuan National Engineering Laboratory for Electric Vehicles,Beijing Institute of Technology,Beijing 100081,China 
Abstract:
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.
Key words:  battery modeling  SOC distribution  numerical optimization  lithium-ion battery  electric vehicle
DOI：10.11916/j.issn.1005-9113.2011.05.009
Clc Number:TM912.1
Fund:

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