Optimal allocation of dynamic wireless charging facility for electric vehicles

•Non-linear cost optimization model to allocate dynamic wireless charging facility.•Sensitivity analysis of parameters while maintaining minimum state-of-charge level.•Case study of Auckland motorway network to design wireless charging lane assignment.•DWC lane utilization based on initial SOC level and lower threshold SOC level of EV. It is widely recognized that electric vehicle (EV) users get frustrated by the limited range of EVs, slow charging, and limited charging facilities available in the vicinity of their journey route. These factors contribute to slowing down the uptake of EVs. Dynamic wireless charging (DWC) system has the potential to offer a cost-effective solution to these issues. This paper investigates the DWC allocation problem from the decision makers’ perspective to minimize individual users’ costs as well as the investment cost for DWC facilities. We propose a mixed-integer optimization model to achieve a cost-effective solution for the optimal placement of DWC facilities on the large road network while maintaining an acceptable state-of-charge level. Sensitivity analysis is conducted on the optimization model parameters to check the feasibility and significance of model solutions for DWC placements. The results provide useful insights into the optimal settings of DWC facilities under multiple route environments.