AI-Driven Energy Management System for Renewable Powered Electric Vehicle Charging Stations

The rapid global rise of Electric Vehicles (EVs) poses a major challenge to traditional power grids. It requires a smart and sustainable charging system. This paper introduces an Energy Management System (EMS) for an EV charging station that works with renewable energy sources (RES), mainly solar panels (PV), and a Battery Energy Storage System (BESS). The main goal of the EMS is to effectively manage the power flow between the PV system, BESS, utility grid, and EVs. The system focuses on charging vehicles directly from solar energy to maximize the use of renewables. Any extra solar power is stored in the BESS for future use when energy production is low or electricity prices are high. The EMS uses smart control algorithms that take into account real-time data, such as solar irradiance, grid electricity prices, the state-of-charge (SoC) of the BESS, and the charging needs of EVs. By carefully scheduling when to charge and discharge, the EMS aims to lower operational costs, ease peak load stress on the utility grid, and reduce the charging station’s carbon footprint. This setup offers a reliable, affordable, and eco-friendly solution, which is essential for incorporating EVs into a sustainable transportation system.