System architecture to select the charging station by optimizing the travel time considering the destination of electric vehicle drivers in smart cities

Ibrahim El-fedany, Driss Kiouach, Rachid Alaoui

Abstract


Electric vehicles are an emerging technology that will bring major changes in the road transport sector, which is one of the main contributors to CO2 emissions and other pollutants.Therefore, electric vehicles are considered as one of the main components of transport systems in smart cities. In addition, many intelligent cities are planning to electrify their transport systems; therefore, the number of electric vehicles is expected to increase significantly in the near future. However, the main limitations of electric vehicles are the limited scope of the battery and their relatively long charging times. This may cause discomfort to drivers of electric vehicles due to a long waiting period at the service of the charging station, during their trips. In this paper, we suggest a model system based on argorithms, allowing the management of charging plans of electric vehicles to travel on the road to their destination in order to minimize the duration of the drivers' journey. The proposed system decision to select the charging station, during advance reservation of electric vehicles, take into account the time of arrival of electric vehicles at charging stations, the expected charging time at charging stations, the local status of the charging stations in real time, and the amount of energy sufficient for the electric vehicle to arrive at the selected charging station. Furthermore, the system periodically updates the electric vehicule reservations to adjust their recharge plans, when they reach their selected earlier station compared to other vehicules requesting new reservations, or they may not arrive as they were forecast, due to traffic jams on the road or a certain reluctance on the part of the driver.

Keywords


Electric Vehicle; Public Charging Station; Charging Reservation; Driver Journey Duration; Smart City

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