EV Charging-Driving Navigation in Electrified Highway Network

This paper proposes a combined charging-driving navigation (CCDN) model for electric vehicles (EVs) traveling in the electrified highway network (EHN), i.e., traffic highway network electrified by the dynamic wireless charging system. Both the spatial-and temporal-differentiated electricity prices are taken into account. The main goal of the navigation is to minimize the total travel costs, including travel time and charging/discharging cost/revenue, through the scheduling on EVs travel speeds and charge/discharge behaviors. The CCDN model is formulated as an irregular dynamic programming problem, and a chronological search algorithm is designed to derive the optimal charging-driving decision sequences. The impact of different initial states-of-charge and different unit time costs on EVs travel behaviors is investigated. Furthermore, several typical travel behaviors for EVs traveling in the EHN are discovered and thoroughly analyzed.