학술논문

Optimal Placement of Fast Charging Infrastructure for Electric Vehicles: an Optimal Routing and Spatial Clustering Approach
Document Type
Conference
Source
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) Intelligent Transportation Systems (ITSC), 2023 IEEE 26th International Conference on. :2685-2692 Sep, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Energy consumption
Transportation
Charging stations
Electric vehicles
Routing
Reliability
Optimization
charging stations
driving range
constrained shortest path
eco-routing
spatial clustering
bi-level optimization problem
optimal placement
Language
ISSN
2153-0017
Abstract
The rapid growth of electric vehicles (EVs) has brought about the need for an efficient and effective charging infrastructure network. Optimal placement of charging infrastructure plays a crucial role in ensuring the widespread adoption and seamless integration of EVs into the existing transportation system. In this work, a new placement method is proposed with the goal of optimizing trip time for all the long-distance nation-wide journeys. The first step of the strategy consists in identifying the ideal location of charging stations based on an optimal routing strategy with charging constraints. Then, a clustering-based heuristic, which also accounts for real travel demand, is proposed to select the best charging stations among these candidate locations. We apply the method to the French national charging infrastructure and we show that important gains in terms of overall trip time and energy consumption are attainable with respect to the current infrastructure. Finally, the proposed method is used to give a recommendation on where to install the future charging stations in order to maximize their positive impact.