Application of Optimization of Energy Management in a Connected Electric Vehicle Environment

Authors

  • Katepalli Bapaiah,Dr. Bedatri Moulik ,Dr. Rajveer Kushaldev Shastri

Keywords:

Connected electric vehicles, energy management optimization, vehicle-to-grid, battery degradation, renewable energy integration, smart charging algorithms, distributed energy storage

Abstract

This research investigates the application of advanced optimization techniques for energymanagement in connected electric vehicle (EV) environments, addressing the criticalchallenges of grid integration

References

Liu, B., Wei, X., Sun, C., Wang, B. & Huo, W. (2024). A controllable neural network-based method for optimal energy management of fuel cell hybrid electric vehicles. International Journal of Hydrogen Energy, 55, 1371–1382. Available at: https://www.nature.com/articles/s41467-025-58192-9

Kwon, R. H. & Frances, D. (2024). Optimization-Based Bidding in Day-Ahead Electricity Auction Markets: A Review of Models for Power Producers. npj Sustainable Mobility and Transport, 1(4), 41–59. Available at: https://www.nature.com/articles/s44333-024-00004-6

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Published

2024-05-15

How to Cite

Katepalli Bapaiah,Dr. Bedatri Moulik ,Dr. Rajveer Kushaldev Shastri. (2024). Application of Optimization of Energy Management in a Connected Electric Vehicle Environment . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2455–2472. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3428

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.