Abstract: Electrification of transport is the most common approach to improve transport efficiency. There are two factors mainly related to the cost of transport associated with electrical vehicles. They are the cost of acquisition and the cost of maintenance of batteries. Finding an efficient way of managing the available energy allows reducing the battery size and hence the cost associated with transport. The proposed work computes the routes for a fleet of electric vehicles by considering the battery limit of the vehicle and the concurrent use of charging stations along the route. The proposed solution minimizes the cost which is a combination of charging time, travel time and the energy consumption along the route. It is based on an evolutionary genetic algorithm with learning strategy. The proposed algorithm computes a feasible solution in a reasonable amount of time and assigns the vehicles among the charging stations to minimize the concurrency.
Keywords: EV, Charging Station, Battery Recharging.
Title: A Genetic Approach for the Optimization of Charging Stops for Fleet of Electric Vehicles
Author: Ansiya Mohammed Ali, Smitha C Thomas
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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