Predicted Network Equilibrium Model of Electric Vehicles With Stationary and Dynamic Charging Infrastructure on the Road Network

With the rapid development of charging-while-driving technology, the deployments of charging lanes and direct current fast chargers (dcFCs) inevitably affect the charging and route choices behavior of battery electric vehicle (BEV) drivers. This article describes the first attempt to develop a predicted user equilibrium model on the road network considering both dcFC and charging lanes charging choices. This article develops a two-stage algorithm: First, we design a stated preference survey to seek the most significant attributes to attract BEV drivers to use a charging lane. Based on that, the second stage constructs a network equilibrium model: Given the locations of public charging stations and charging lanes, we then assigned the BEV traffic flow to a network based on their charging preferences. As an illustrative example, we conducted a numerical analysis on a road network to demonstrate the effectiveness of the model and solution algorithm. The results suggest that income and travel cost are the most significant attributes of the choice behavior and that the locations of charging stations and charging lanes have a significant influence on the route choices of drivers.

Automated summary

This article introduces a predicted user equilibrium model that considers both direct current fast chargers (dcFCs) and charging lanes charging choices. A two-stage algorithm is developed to construct the model and conducts a numerical analysis. The results show that income and travel cost are the most significant attributes affecting the choice behavior.