Optimal Design of an Air-Cooling System for a Li-Ion Battery Pack in Electric Vehicles with a Genetic Algorithm

被引：0
|
作者：
Mousavi, Mohsen [1 ]
Hoque, Shaikh [1 ]
Rahnamayan, Shahryar [1 ]
Dincer, Ibrahim [1 ]
Naterer, Greg F. [1 ]
机构：
[1] UOIT, Fac Engn & Appl Sci, Oshawa, ON L1H 7K4, Canada
来源：
2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2011年
关键词：
EV; Thermal Management; Li-ion Battery; Air Cooling; Genetic Algorithm; Optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1848 / 1855
页数：8
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