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AI-Driven Interaction and Collaborative Optimization of Vehicle, Charging Station and Grid: Challenges and Prospects

Bo Yang1,*, Zhe Jiang1, Jianfeng Wen2, Ning Yang3, Kaiping Qu4, Shuai Zhou5

1 Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, China
2 Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 7ZX, UK
3 Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW, UK
4 The Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, 999077, China
5 School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, 1010, New Zealand

* Corresponding Author: Bo Yang. Email: email

(This article belongs to the Special Issue: Artificial Intelligence-Driven Collaborative Optimization of Electric Vehicle, Charging Station and Grid: Challenges and Opportunities)

Energy Engineering 2025, 122(6), 2187-2195. https://doi.org/10.32604/ee.2025.065489

Abstract

This article has no abstract.

Keywords

Vehicle-to-grid (V2G) interaction; artificial intelligence; collaborative optimization; electric vehicles; grid scheduling

Cite This Article

APA Style
Yang, B., Jiang, Z., Wen, J., Yang, N., Qu, K. et al. (2025). AI-Driven Interaction and Collaborative Optimization of Vehicle, Charging Station and Grid: Challenges and Prospects. Energy Engineering, 122(6), 2187–2195. https://doi.org/10.32604/ee.2025.065489
Vancouver Style
Yang B, Jiang Z, Wen J, Yang N, Qu K, Zhou S. AI-Driven Interaction and Collaborative Optimization of Vehicle, Charging Station and Grid: Challenges and Prospects. Energ Eng. 2025;122(6):2187–2195. https://doi.org/10.32604/ee.2025.065489
IEEE Style
B. Yang, Z. Jiang, J. Wen, N. Yang, K. Qu, and S. Zhou, “AI-Driven Interaction and Collaborative Optimization of Vehicle, Charging Station and Grid: Challenges and Prospects,” Energ. Eng., vol. 122, no. 6, pp. 2187–2195, 2025. https://doi.org/10.32604/ee.2025.065489



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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