Optimal Power Management for Sustainable Multipurpose Smart EV Charging Stations

Abstract

Automation and AI are necessity in today's fast-moving world. This combination augments human intelligence and skills to make better decisions and improves the quality of services. This project proposes an automated intelligent control algorithm to schedule the EV charging in the closed community parking lots. The intelligent controller uses an optimisation algorithm to allocate the chargers based on the availability of renewable power, ensuring that all cars are charged efficiently and effectively. The system incorporates automatic number plate recognition technology to identify incoming cars, retrieve their charging details, and initiate the charging process. Additionally, provisions are made for manual emergency charging. The system generates monthly charging bills for car owners, which are sent via email, thus promoting transparency and accountability. This feature encourages responsible use of the charging stations and contributes to the adoption of electric vehicles. When the charging slots are free, this facility can be used to charge public vehicles. Overall, this smart e-vehicle charging system provides a sustainable and energy-efficient solution for charging electric vehicles while promoting the use of renewable energy sources.