Review on Battary Charging of Electric Vehicles (EVs) using Artificial Intelligence and Machine Learning (AIML)
Year: 2025
Type: article
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.
Authors: Pranav Chougule, D.A. Patil
Institution: DKTE Society's Textile and Engineering Institute
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4411744600