Optimization of Energy Management in a Connected Electric Vehicle  Environment

Katepalli Bapaiah ,Dr. Bedatri Moulik , Vishal Sharad Hingmire

Optimization of Energy Management in a Connected Electric Vehicle Environment

Authors

Katepalli Bapaiah ,Dr. Bedatri Moulik , Vishal Sharad Hingmire

Keywords:

Electric Vehicle, Energy Management, Vehicle-to-Grid, Smart Charging, Optimization, Connected Vehicles, Battery Management, Grid Integration, Energy Efficiency, Machine Learning

Abstract

The rapid proliferation of electric vehicles (EVs) presents unprecedented challenges andopportunities for modern energy management systems. This paper investigates optimizationstrategies in connected EV environments, focusing on Vehicle-to-Grid (V2G) technology, smartcharging, and predictive algorithms. Given that plug-in hybrid electric vehicles

References

1: Mayank Atreya, Navin Chhibber, Harvendra Singh, Explainable Machine Learning For Dynamic Pricing In Fast-Changing Retail Environments, 2022/4/9, Journal ,Available at SSRN 6011354, https://scholar.google.com/citations?view_op=view_citation&hl=en&user=fyViF1UAAAAJ&citation_for_view=fyViF1UAAAAJ:LkGwnXOMwfcC.

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Published

2024-11-20

How to Cite

Katepalli Bapaiah ,Dr. Bedatri Moulik , Vishal Sharad Hingmire. (2024). Optimization of Energy Management in a Connected Electric Vehicle Environment. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 9305–9323. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5711