A brief comparison of algorithms and methods for optimization of electric vehicles charging strategies

被引：0

作者：

Arpita Bharti ^{[1
]}

Rajeev Kumar Chauhan ^{[1
]}

机构：

[1] Dayalbagh Educational Institute (Deemed to be University),Department of Electrical Engineering

来源：

Discover Electronics | / 2卷 / 1期

关键词：

Intelligent energy management system; Electric vehicle; Photovoltaic system; State of charge; Electric vehicle charging station, vehicle to grid, EV penalty and switching cost;

D O I：

10.1007/s44291-025-00088-5

中图分类号：

学科分类号：

摘要：

In recent years, the transition from internal combustion engines to electric vehicles (EVs) has gained momentum due to their potential to reduce greenhouse gas emissions significantly. This shift presents various opportunities but also introduces challenges in energy management within electric and transportation systems. Proper Electric Vehicle management can alleviate grid stress and minimize user wait times. Moreover, leveraging renewable energy sources for Electric Vehicle charging can reduce the grid’s load. Vehicle-to-grid (V2G) technology emerges as a promising solution to handle sudden surges in grid demand. Strategic planning is essential for the future of electric mobility systems. This paper delves into the effects of Electric Vehicle energy consumption on the grid and reviews the latest advancements in Electric Vehicle charging control and optimization aimed at cost optimization. It also explores strategies for large-scale Electric Vehicle charging to improve energy management. This paper identifies key research gaps in the Electric Vehicle field through a comprehensive literature review, offering insights and recent solutions to crucial issues.

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