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ew 24(1):

Editorial

Research on Optimization of Power Battery Recycling Logistics Network

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  • @ARTICLE{10.4108/ew.5790,
        author={Yanlin Zhao and Yuliang Wu},
        title={Research on Optimization of Power Battery Recycling Logistics Network},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2024},
        month={4},
        keywords={power battery, recycling logistics, logistics network},
        doi={10.4108/ew.5790}
    }
    
  • Yanlin Zhao
    Yuliang Wu
    Year: 2024
    Research on Optimization of Power Battery Recycling Logistics Network
    EW
    EAI
    DOI: 10.4108/ew.5790
Yanlin Zhao1,*, Yuliang Wu1
  • 1: Panzhihua University
*Contact email: zaoyling@qq.com

Abstract

With the popularity and development of electric vehicles, the demand for power batteries has increased significantly. Power battery recycling requires a complex and efficient logistics network to ensure that used batteries can be safely and cost-effectively transported to recycling centers and properly processed. This paper constructs a dual-objective mathematical model that minimizes the number of recycling centers and minimizes the logistics cost from the service center to the recycling center, and designs the power battery disassembly and recycling process and the recycling logistics network, and finally uses a genetic algorithm to solve it. Finally, this article takes STZF Company as an example to verify the effectiveness of this method. The verification results show that the logistics intensity of the optimized power battery recycling logistics network has been reduced by 36.2%. The method proposed in this article can provide certain reference for power battery recycling logistics network planning.

Keywords
power battery, recycling logistics, logistics network
Received
2023-11-19
Accepted
2024-04-08
Published
2024-04-15
Publisher
EAI
http://dx.doi.org/10.4108/ew.5790

Copyright © 2024 Y. Zhao et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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