Toward Suitable Area Coverage for Finding Battery Swapping Station Locations using GIS and Distance Function

Electric vehicles (EVs) are becoming an increasingly popular and competitive option for clean transportation. However, the improper location of battery charging or swapping stations has impeded the adoption of electric vehicles. In this paper, we propose a distance function using Geographic Information System (GIS) techniques to find the proper station locations in order to provide optimized area coverage. The feasibility of this model is verified by simulation of station locations in Phuket, Thailand. The set coverage model proposed is a new solution to discover the optimal location for electric vehicle charging stations across Thailand. This study aims to provide a theoretical basis for the deployment of these new charging stations.