Prototyping Design and Optimization of Smart Electric Vehicles/Stations System using ANN

This paper demonstrates an experimental attempt to prototype electric vehicle charging station’s (EVCS) decision-making unit, using artificial neural network (ANN) algorithm. The algorithm acts minimize the queuing delay in station, with respect state of charge (SOC), and expected arrival time. A simplified circuit model has been used proposed algorithm, overall delay. Herein, worst-case scenario is considered by having number vehicles arriving station at same time greater than points available side. Accordingly, optimization technique was applied reduce mean Results showed that this can help reducing around 20% while referring a bare without ANN as reference.