Artificial Intelligence and IoT-Based Autonomous Hybrid Electric Vehicle with Self-Charging Infrastructure
Aaqib Raza, Mazhar Hussain Baloch, Irfan Ali, Waqas Ali, Muhammad Hassan, Abdul Karim
Abstract
Electric vehicles (EVs) are increasing day by day across the world. Due to zero CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emission and being environmentally friendly, electric vehicles are steadily gaining in popularity. Energy storage and charging systems are one of the main issues that should be removed completely. This paper provides solutions to charging systems with hybrid sources, plug-in hybrid electric vehicles (PHEVs), and all-electric vehicles (EVs). The application of the Internet of things (IoT) and Artificial Intelligence in monitoring the performance of a charging system, and fully autonomous driving electric vehicles by using different sensors connected. 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. Artificial Intelligence (AI) accelerates electric vehicles towards automation. In the future, IoT and artificial intelligence-based complete autonomous driving vehicles enable us to reduce battery charging, parking, and traffic issues and change the infrastructure into smart cities.