Optimization of Energy Management in a Connected Electric Vehicle Environment
Keywords:
Electric Vehicle, Energy Management, Vehicle-to-Grid, Smart Charging, Optimization, Connected Vehicles, Battery Management, Grid Integration, Energy Efficiency, Machine LearningAbstract
The rapid proliferation of electric vehicles (EVs) has created unprecedented challenges andopportunities in energy management systems. This research paper investigates the optimization ofenergy management strategies in connected electric vehicle environments, focusing on theintegration of Vehicle-to-Grid (V2G) technology
References
International Energy Agency. (2025). Global EV Outlook 2025. IEA. https://www.iea.org/reports/global-ev-outlook-2025
Li, X., Wang, Y., & Zhang, M. (2025). Data-driven energy management for electric
vehicles using offline reinforcement learning. Nature Communications, 16(1), 1-15. https://www.nature.com/articles/s41467-025-58192-9
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Published
2024-05-15
How to Cite
Katepalli Bapaiah,Dr. Bedatri Moulik,Dr. Sudarshan Laxmanrao Chavan. (2024). Optimization of Energy Management in a Connected Electric Vehicle Environment . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2014–2030. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3157
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