Naterer, Greg F., et al. “Optimal Design of an Air-Cooling System for a Li-Ion Battery Pack in Electric Vehicles With a Genetic Algorithm”. 2011 IEEE Congress of Evolutionary Computation (CEC), IEEE, 2011, https://doi.org/10.1109/CEC.2011.5949840.

Genre

  • Conference Proceedings
Contributors
Author: Naterer, Greg F.
Contributor: 2011 IEEE Congress of Evolutionary Computation (CEC)
Author: Mousavi, Mohsen
Author: Hoque, Shaikh
Author: Dincer, Ibhrahim
Author: Rahnamayan, Shahryar
Date Issued
2011
Publisher
IEEE
Place Published
New Orleans, LA, USA
Abstract

This paper examines and optimizes parameters that affect the air cooling of a Lithium-Ion (Li-Ion) battery, used in Electric Vehicles (EVs). A battery pack containing 150 cylindrical type Li-Ion battery cells in a PVC casing is investigated. An equal number of tubes are used in the pack as a medium to cool the battery by using a fan when the vehicle is stationary or with ambient air when in motion. The parameters affecting the air cooling of battery are studied and optimized by considering their practical constraints. The objective function and Number of Transfer Unit (NTU) are developed Finally, a genetic algorithm method is employed to optimize the decision variables. Analysing the results shows that NTU can be maximized by increasing the diameter of tubes on the battery and keeping the air velocity in a certain range.

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Language

  • English
Host Title
2011 IEEE Congress of Evolutionary Computation (CEC)
DOI
https://doi.org/10.1109/CEC.2011.5949840

Department