Randomized trial examines optimal charging setups for electric vehicles, suggesting effective infrastructure deployment.
Key Points
This research aims to determine the best charging configurations for electric vehicles in highway service areas based on user preferences and rationality limits.
Conducted a stated-preference survey with 348 valid responses, both face-to-face and online.
Fitted multinomial logit and mixed logit models to analyze preferences for charging modes.
Developed a profit-maximization model considering charging capacity, pile numbers, and user demand penalties.
Optimal DCFC/HPC ratios and operator profits varied according to user volume and charging capacity.
Sensitivity analyses demonstrated significant impacts of waiting penalties on charging configurations.
The proposed framework aids in strategic planning for EV charging infrastructure deployment.