Route Optimization of Electric Vehicles based on Dynamic Wireless Charging

Abstract

Oneofthebarriersfortheadoptionofelectricvehicles(EVs)istheanxietyaroundthelimited driving range. Recent proposals have explored charging EVs on the move, using dynamic wireless charging which enables power exchange between the vehicle and the grid while the vehicle is moving. In this paper, we focus on the intelligent routing of EVs in need of charging so that they can make most efficient use of the so-called mobile energy disseminators (MEDs) which operate as mobile charging stations. We present a methodforroutingEVsaroundMEDsontheroadnetwork,whichisbasedonconstraintlogicprogramming and optimization using a graph-based shortest path algorithm. The proposed method exploits inter-vehicle communications in order to eco-route electric vehicles. We argue that combining modern communications betweenvehiclesandstateofthearttechnologiesonenergytransfer,thedrivingrangeofEVscanbeextended without the need for larger batteries or overtly costly infrastructure. We present extensive simulations in city conditions that show the driving range and consequently the overall travel time of electric vehicles is improved with intelligent routing in the presence of MEDs.

Description

open access article

Keywords

Constraint solving, dynamic wireless charging, electric vehicles, inductive power transfer, optimization, vehicular communications routing

Citation

Kosmanos, D., Maglaras, L. A., Mavrovouniotis, M., Moschoyiannis, S., Argyriou, A., Maglaras, A., and Janicke, H. (2018) Route Optimization of Electric Vehicles Based on Dynamic Wireless Charging. IEEE Access, 6, 42551-42565.

Rights

Research Institute