On the Coordination of Charging Demand of Electric Vehicles in a Network of Dynamic Wireless Charging Systems
On the Coordination of Charging Demand of Electric Vehicles in a Network of Dynamic Wireless Charging Systems
Researchers Name: Eiman ElGhanam, Hazem Sharf, Yazan Odeh, Dr. Mohamed S. Hassan, Dr. Ahmed H. Osman
The research paper, “On the Coordination of Charging Demand of Electric Vehicles in a Network of
Dynamic Wireless Charging Systems,” unfolds as a groundbreaking exploration into the dynamic realm
of electric vehicle (EV) charging infrastructure. With a keen awareness of the increasing prominence of
dynamic wireless charging (DWC) for on-the-move EVs, the paper sets out to tackle critical challenges
related to range limitations and charging downtimes experienced by EV users. At its core, the research
introduces an innovative online, mobility-aware spatial EV allocation algorithm, embedded within a
strategic DWC coordination framework. Departing from traditional offline charging scheduling, this
approach strives to optimize the utilization of DWC lanes within an Electric Vehicle Charging Network
(ECN) operating in the Internet of Electric Vehicles (IoEVs) context. Illustrating the practical implications
of the proposed coordination strategy, the paper outlines a detailed charging request scenario. It
emphasizes the need for seamless communication and authentication between EVs and the charging
infrastructure, aiming for efficient EV allocation to DWC lanes. This coordination is essential for grid
load balancing and mitigating the risk of grid overload. The heart of the paper lies in the description and
evaluation of the novel EV allocation algorithm. Using a hypothetical case study based on predicted
EV traffic trips in Dubai and Sharjah, UAE, the algorithm’s performance is rigorously assessed. Through
parameter optimization, the analysis reveals compelling outcomes—a nearly flattened load profile across
DWC lanes, yielding a remarkable reduction of over 44% in Peak Average Electrical Requirement (PAER)
compared to conventional allocation methods, with a maximum of 2× increase in trip length. Crucially,
the paper factors in grid supply limitations, EV traveling velocities, and the maximum service capacity
per DWC lane. This comprehensive approach underscores its significance in enhancing EV charging
infrastructure efficiency, addressing grid challenges, and advancing the integration of dynamic wireless
charging systems into the evolving landscape of electric mobility.
