Dynamical modeling of Li-ion batteries for electric vehicle applications based on hybrid Particle Swarm-Nelder-Mead (PSO-NM) optimization algorithm

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Dynamical modeling of Li-ion batteries for electric vehicle applications based on hybrid Particle Swarm-Nelder-Mead (PSO-NM) optimization algorithm

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作者：Tedjani Mesbahi^a ; ^{tedjani.mesbahi@estaca.fr" class="auth_mail" title="E-mail the corresponding author} ; ^{td_mesbahi@yahoo.fr" class="auth_mail" title="E-mail the corresponding author} ; Fouad Khenfri^a ; Nassim Rizoug^a ; Khaled Chaaban^a ; Patrick Bartholomeü ; s^b ; Philippe Le Moigne^b
关键词：Electric vehicle ; Li-ion battery ; Hybrid (PSO&ndash ; NM) optimization algorithm ; Equivalent circuit model ; Open circuit voltage OCV and State of charge SOC
刊名：Electric Power Systems Research
出版年：2016
出版时间：February 2016
年：2016
卷：131
期：Complete
页码：195-204
全文大小：2092 K

文摘

•: This work presents an electric modeling of a Li-ion battery for electric vehicle application.
•: A hybrid (PSO–NM) optimization algorithm is used to parameterize battery model.
•: The model performances were evaluated under different cycle conditions.
•: The correctness and applicability of the proposed model is very high.

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