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Title	Improving The Effectiveness Of Electric Vehicle Charging Infrastructure Within A Smart City Using Artificial Neural Networks (Ann) And The Internet Of Vehicles (Iov)
ID_Doc	30935
Authors	Youness H.; Mohamed T.; Ahmed G.; Hajar A.; Benachir E.L.H.
Year	2024
Published	Proceedings of the International Conference on Microelectronics, ICM
DOI	http://dx.doi.org/10.1109/ICM63406.2024.10815842
Abstract	This abstract provides an overview of an article focusing on the integration of the Internet of Vehicles (IoV) with electric vehicle (EV) charging infrastructure to enhance transportation sustainability and efficiency. It emphasizes the importance of efficient EV charging planning in identifying suitable charging stations while addressing constraints such as State-of-Charge (SOC) and driving direction. The proposed IoV-based scheduling scheme aims to minimize travel distance and charging costs, meet EV charging time requirements, and optimize charging station resource utilization. The study employs artificial neural networks to determine the optimal charging moment, with simulations conducted using Matlab-Simulink and a DSP board for trained data. Morocco is selected as the study area for this research. © 2024 IEEE.
Author Keywords	artificial neural networks; charging infrastructure; DSP board; Internet of Vehicles (IoV); Matlab-Simulink

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