Thermal Analysis for Lithium-Ion Battery Pack based on Parameter Estimation based on Genetic Algorithm

Yong Wang, Yelin Deng, Weiwei Liu, Kunkun Hao, Hongchao Zhang

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Thermal analysis of Lithium-ion battery pack is the important portion of battery management for electric vehicles. The heat produced in charging and discharging will bring about impairment of the safety and service life of batteries. It is thus important to monitor battery temperature for prevention of the battery failure. This paper first sets up a simulation model based on the second-order RC circuit model of the heat generation and dissipation of the battery pack using SIMULINK. The temperature of the battery pack is tested under The New European Driving Cycle conditions. And by comparing with the experimental data of the battery temperature, the heat dissipation coefficient in the simulation model will be optimized by the genetic algorithm using MATLAB. The optimization result shows that the difference between the simulated temperature and the actual temperature is within one degree, so the model based on the optimization result can accurately reflect the actual temperature change.

Original languageEnglish
Article number012015
JournalIOP Conference Series: Materials Science and Engineering
Issue number1
StatePublished - Apr 9 2020
Event2019 International Conference on Energy, Power and Mechanical Engineering, EPME 2019 - Guangzhou, China
Duration: Dec 20 2019Dec 22 2019


Dive into the research topics of 'Thermal Analysis for Lithium-Ion Battery Pack based on Parameter Estimation based on Genetic Algorithm'. Together they form a unique fingerprint.

Cite this