Ai Based Wireless Charging Station For Electrical Vehicle

Abstract

As The Production Of Electric Vehicles (EVs) Has Significantly Increased In Recent Years, Driven By The Need To Reduce Carbon Emissions And Promote Environmentally Friendly Transportation. This Transition From Traditional Internal Combustion Engine Vehicles To Battery-powered Electric Vehicles Has Been Further Accelerated By The Rise In Petroleum And Diesel Prices, Resulting In A Growing Market Share For EVs. Consequently, The Rapid Increase In EV Adoption Has Highlighted The Need For Widespread Charging Infrastructure. However, Establishing Conventional Charging Stations Can Be Challenging, Particularly In Densely Populated Urban Areas Where Space Is Limited And The Initial Investment Cost Is High. To Address This Issue, This Project Proposes An Innovative AI-based Mobile Wireless Charging System For Electric Vehicles. The System Provides A Cost-effective And Reliable Charging Solution, Especially Suitable For High-traffic Locations Such As Parking Facilities, Shopping Malls, Parks, Theaters, And Other Public Areas. To Enhance System Effectiveness And Adaptability, A Wireless Sensor Network (WSN) Is Integrated With The Charging Infrastructure. The AI-enabled Control System Continuously Monitors Charging Requirements And Optimizes Charging Operations, Thereby Improving Accuracy, Efficiency, Reliability, And Modularity. This Approach Contributes To The Development Of A Smarter And More Sustainable EV Charging Ecosystem.

Keywords