On the Coordination of the Charging Demand of Roadway Powered Electric Vehicles

In order to reduce range anxiety and encourage mass adoption of Electric Vehicles (EVs), dynamic wireless charging (DWC) systems are introduced to provide energy to EVs during their motion on the roads, i.e. roadway-powered $\mathrm{E}\mathrm{V}\mathrm{s}$. In order to ensure optimal coordination of the EV charging process and avoid grid overload, charging coordination strategies are proposed for EVs that are interconnected in an Internet of Electric Vehicles (IoEVs). In this work, a spatial allocation algorithm is proposed for coordinating the charging of EVs across a network of DWC lanes, aiming to reduce the peakto-average energy ratio (PAER) supplied by the lanes under study. A detailed charging request scenario is first presented to highlight the required communication between the EVs and the charging infrastructure. Description of the proposed coordination algorithm is then presented and the performance of the algorithm is evaluated using a hypothetical case study considering typical traffic flows in the UAE during early morning hours. Results reveal that the proposed EV allocation algorithm achieves an almost flattened load profile across the DWC lanes. The achieved peak-to-average energy ratio (PAER) when implementing the proposed algorithm is more than 60% lower than that obtained using shortest distance-based allocation. The proposed algorithm ensures that the length of the trip through the assigned charging lane is at most, twice the length of the original trip, for all trips acknowledged in the study.