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Research on Electric Vehicle Charging Station Location Based on Multiple Objective Snake Optimizer

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Liying Li

    (Liaoning Technical University, School of Business and Management)

  • Haipan Song

    (Liaoning Technical University, School of Business and Management)

Abstract

In view of the characteristics that the performance of electric vehicle power battery is easily affected by low temperature environment, by taking the influence of low temperature environment on the energy consumption of electric vehicle into account, a bi-objective location model was constructed to minimize the user's generalized travel cost and the total construction cost, and Multiple Objective Snake Optimizer (MOSO) was designed to solve the model. The feasibility of the model and the effectiveness of the algorithm are verified by taking the Central China and the Northeast China as examples, and the influence of the difference of siting strategy and the change of charging demand on siting strategy is explored.

Suggested Citation

  • Liying Li & Haipan Song, 2024. "Research on Electric Vehicle Charging Station Location Based on Multiple Objective Snake Optimizer," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 1419-1427, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_143
    DOI: 10.2991/978-94-6463-256-9_143
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