Abstract
The rapid development of intelligent transportation system in smart cities offers great opportunities to improve the performance of energy management strategies (EMSs) for connected electric vehicles (EV) charging system. An electric vehicle charging station integrating Solar Photovoltaic Panel (PV), a Battery Energy Storage System (BESS) and based utility grid is designed for many scenarios. In the proposed system, the PV is the primary energy source with the battery for storing excessive energy to deliver the lowest possible electricity bill with the grid-tied to ensure power delivery| (power continuity). An efficient design of charging solar station with control strategy is developed for the optimal power management between solar, BESS, grid. By taking dynamic charging process of EVs battery, the power management flow in the station is formulated and validated using MATLAB. Machine learning methods will be applied to optimize proposed energy management system.
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