Intelligent Charging Strategies for Electric Vehicles: A Comprehensive Review

Abstract

The widespread adoption of electric vehicles (EVs) has brought about a significant shift in the transportation sector, with the potential to reduce greenhouse gas emissions and fossil fuel dependence. However, the successful integration of EVs into the power grid poses several challenges, particularly concerning the efficient management of charging demand. Intelligent charging strategies have emerged as a promising solution to address these challenges, offering advanced techniques to optimize the charging process and mitigate the potential strain on the grid. This comprehensive review explores the current state of intelligent charging strategies for EVs, encompassing a wide range of approaches, including rule-based, optimization-based, and learning-based methods. The review delves into the underlying principles, key features, and practical applications of these strategies, while also discussing the integration of renewable energy sources, vehicle-to-grid (V2G) capabilities, and the role of communication infrastructure. Furthermore, the review examines the potential benefits, limitations, and future research directions in the field of intelligent EV charging. The findings presented in this article provide a valuable resource for researchers, policymakers, and industry stakeholders to develop and implement effective intelligent charging solutions, ultimately contributing to the seamless integration of EVs into the power grid.