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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2013-01-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1155/2013/754653 |