Authors : Pranav Chougule; D.A.Patil

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/32kf6fb9

DOI : https://doi.org/10.38124/ijisrt/24may1106

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The integration of artificial intelligence (AI) into electric vehicle (EV) charging systems has emerged as a promising avenue to address the challenges of efficient and sustainable transportation. This review paper synthesizes the current state-of- the-art research and developments in the application of AI techniques for EV charging infrastructure. This paper critically evaluates the efficacy of AI-driven approaches in improving charging efficiency, reducing costs, and mitigating environmental impacts. Moreover, it identifies key trends, challenges, and future directions for research and implementation in this rapidly evolving field. Through a comprehensive analysis of existing literature, this review aims to provide insights into the potential benefits and implications of AI-enabled EV charging systems for advancing sustainable transportation infrastructure.

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