Battery Pack Grouping and Capacity Improvement for Electric Vehicles Based on a Genetic Algorithm

Zheng Chen, Ningyuan Guo, Xiaoyu Li, Jiangwei Shen, Renxin Xiao and Siqi Li
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Zheng Chen: Faculty of Transportation Engineering, Kunming University of Science of Technology, Kunming 650500, China
Ningyuan Guo: Faculty of Transportation Engineering, Kunming University of Science of Technology, Kunming 650500, China
Xiaoyu Li: Faculty of Transportation Engineering, Kunming University of Science of Technology, Kunming 650500, China
Jiangwei Shen: Faculty of Transportation Engineering, Kunming University of Science of Technology, Kunming 650500, China
Renxin Xiao: Faculty of Transportation Engineering, Kunming University of Science of Technology, Kunming 650500, China
Siqi Li: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China

Energies, 2017, vol. 10, issue 4, 1-15

Abstract: This paper proposes an optimal grouping method for battery packs of electric vehicles (EVs). Based on modeling the vehicle powertrain, analyzing the battery degradation performance and setting up the driving cycle of an EV, a genetic algorithm (GA) is applied to optimize the battery grouping topology with the objective of minimizing the total cost of ownership (TCO). The battery capacity and the serial and parallel amounts of the pack can thus be determined considering the influence of battery degradation. The results show that the optimized pack grouping can be solved by GA within around 9 min. Compared with the results of maximum discharge efficiency within a fixed lifetime, the proposed method can not only achieve a higher discharge efficiency, but also reduce the TCO by 2.29%. To enlarge the applications of the proposed method, the sensitivity to driving conditions is also analyzed to further prove the feasibility of the proposed method.

Keywords: battery pack grouping; electric vehicles (EVs); genetic algorithm (GA); total cost of ownership (TCO) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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