Planning and Allocation of Dynamic Wireless Charging Infrastructure for Electric Vehicles

With the growing interest in green and environment-friendly transportation systems, Electric vehicles (EV) are gaining an increasing popularity. Nevertheless, the high deployment costs of EV charging systems along with the currently low, but increasing, penetration of EVs both slow down the investments in EV charging infrastructure. This raises concerns of range anxiety for current and prospective EV owners, for fear of running out of charge without completing their journeys or reaching a nearby charging point. Accordingly, dynamic wireless charging (DWC) solutions are introduced to enable charging EVs on the move, thereby reducing range anxiety and eliminating charging downtime. Due to their high implementation and operation costs, optimal planning of DWC infrastructure is essential to determine the most suitable locations for allocating the charging lanes. In this paper, an optimal allocation process is presented for planning the locations of DWC lanes within the city of Dubai, UAE. First, data on traffic congestion levels is collected through Google Traffic application programming interface (API) to choose a set of candidate locations for deploying the DWC lanes. An energy analysis is then conducted on the selected 19 candidates to provide recommendations on the most energy-efficient subset of locations for the deployment of DWC lanes, acknowledging the number of hours in congestion and average traveling speed at each location.