Parallelized Genetic Identification of the Thermal-Electrochemical Model for Lithium-Ion Battery

The parameters of a well predicted model can be used as health characteristics for Lithium-ion battery. This article reports a parallelized parameter identification of the thermal-electrochemical model, which significantly reduces the time consumption of parameter identification. Since the P2D model...

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Bibliographic Details
Main Authors: Liqiang Zhang, Chao Lyu, Lixin Wang, Jun Zheng, Weilin Luo, Kehua Ma
Format: Article
Language:English
Published: SAGE Publishing 2013-01-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1155/2013/754653