International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The global adoption of electric vehicles (EVs) is steadily rising because they offer an environmentally sustainable alternative with minimal carbon emissions. However, challenges related to energy storage and efficient charging remain major obstacles to wider EV adoption. This paper provides solutions to charging systems with hybrid sources, plug-in hybrid electric vehicles (PHEVs), and all-electric vehicles (EVs). This project explores how Artificial Intelligence (Al) and the Internet of Things (IoT) can enhance EV performance monitoring and support autonomous vehicle operation through sensor integration. A self-charging system can be implemented and the exchange of information between the vehicle and its surroundings. Artificial Intelligence (AI) refers to the human mind that can perform tasks and decision-making like human intelligence through different logic and programs. Al technologies play a crucial role in advancing electric vehicles toward full automation. In the future, Al and loT enabled autonomous vehicles could help minimize charging delays, improve parking management, and support the development of smart city infrastructure.

Keywords: Electric vehicles (EVs), Internet of things (IoT), Artificial Intelligence (AI), Plug-in Hybrid Electric Vehicles (PHEVs), Wireless Charging, Battery Monitoring System.

Downloads: | DOI: 10.17148/IJARCCE.2025.141179