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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Zheng Chen & Ningyuan Guo & Xiaoyu Li & Jiangwei Shen & Renxin Xiao & Siqi Li, 2017. "Battery Pack Grouping and Capacity Improvement for Electric Vehicles Based on a Genetic Algorithm," Energies, MDPI, vol. 10(4), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:439-:d:94642
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    References listed on IDEAS

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    1. Peterson, Scott B. & Michalek, Jeremy J., 2013. "Cost-effectiveness of plug-in hybrid electric vehicle battery capacity and charging infrastructure investment for reducing US gasoline consumption," Energy Policy, Elsevier, vol. 52(C), pages 429-438.
    2. Hu, Xiaosong & Murgovski, Nikolce & Johannesson, Lars & Egardt, Bo, 2013. "Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes," Applied Energy, Elsevier, vol. 111(C), pages 1001-1009.
    3. Wang, Limei & Cheng, Yong & Zhao, Xiuliang, 2015. "A LiFePO4 battery pack capacity estimation approach considering in-parallel cell safety in electric vehicles," Applied Energy, Elsevier, vol. 142(C), pages 293-302.
    4. Özdemir, Enver Doruk & Hartmann, Niklas, 2012. "Impact of electric range and fossil fuel price level on the economics of plug-in hybrid vehicles and greenhouse gas abatement costs," Energy Policy, Elsevier, vol. 46(C), pages 185-192.
    5. Bouchhima, Nejmeddine & Schnierle, Marc & Schulte, Sascha & Birke, Kai Peter, 2017. "Optimal energy management strategy for self-reconfigurable batteries," Energy, Elsevier, vol. 122(C), pages 560-569.
    6. Agudelo, Andrés F. & García-Contreras, Reyes & Agudelo, John R. & Armas, Octavio, 2016. "Potential for exhaust gas energy recovery in a diesel passenger car under European driving cycle," Applied Energy, Elsevier, vol. 174(C), pages 201-212.
    7. Ouyang, Minggao & Feng, Xuning & Han, Xuebing & Lu, Languang & Li, Zhe & He, Xiangming, 2016. "A dynamic capacity degradation model and its applications considering varying load for a large format Li-ion battery," Applied Energy, Elsevier, vol. 165(C), pages 48-59.
    8. Cuma, Mehmet Ugras & Koroglu, Tahsin, 2015. "A comprehensive review on estimation strategies used in hybrid and battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 517-531.
    9. Redelbach, Martin & Özdemir, Enver Doruk & Friedrich, Horst E., 2014. "Optimizing battery sizes of plug-in hybrid and extended range electric vehicles for different user types," Energy Policy, Elsevier, vol. 73(C), pages 158-168.
    10. Li, Jianwei & Gee, Anthony M. & Zhang, Min & Yuan, Weijia, 2015. "Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model," Energy, Elsevier, vol. 86(C), pages 175-185.
    11. Zhao, Xin & Doering, Otto C. & Tyner, Wallace E., 2015. "The economic competitiveness and emissions of battery electric vehicles in China," Applied Energy, Elsevier, vol. 156(C), pages 666-675.
    12. Shiau, Ching-Shin Norman & Samaras, Constantine & Hauffe, Richard & Michalek, Jeremy J., 2009. "Impact of battery weight and charging patterns on the economic and environmental benefits of plug-in hybrid vehicles," Energy Policy, Elsevier, vol. 37(7), pages 2653-2663, July.
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    Cited by:

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    2. Horatiu Pop & Alin Grama & Alexandra Fodor & Corneliu Rusu, 2023. "Infrastructure Development for Electric Vehicle Charging Stations in Cluj-Napoca Municipality—A Case Study," Energies, MDPI, vol. 16(8), pages 1-14, April.

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