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

DOI

10.2991/978-94-6463-256-9_143How to use a DOI?

Keywords

charging facility; bi-objective site selection; Multiple Objective Snake Optimizer

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Liying Li
AU  - Haipan Song
PY  - 2023
DA  - 2023/10/09
TI  - Research on Electric Vehicle Charging Station Location Based on Multiple Objective Snake Optimizer
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1419
EP  - 1427
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_143
DO  - 10.2991/978-94-6463-256-9_143
ID  - Li2023
ER  -