Optimizing dynamic wireless charging for electric buses: A data-driven approach to infrastructure planning

Authors

Ruixiao Sun
Qi Luo
Yuche Chen

Document Type

Journal Article

Publication Date

2024

Subject Area

place - north america, place - urban, mode - bus, infrastructure - fleet management, infrastructure - vehicle, infrastructure - station, operations - frequency, economics - operating costs, policy - sustainable

Keywords

public transit, dynamic wireless charging (DWC)

Abstract

The network configuration significantly impacts the performance of dynamic wireless charging (DWC) technology for electric buses. This study presents a novel approach to planning charging infrastructure for public transit using data-driven nonconvex mixed-integer optimization. Integrating DWC and charging station technologies reveals a trade-off between enroute and stationary charging times. Our framework optimizes bus frequency settings and transmitter coil arrangements to minimize operational and infrastructure costs. A case study in Chattanooga, Tennessee, demonstrates the method's effectiveness in mitigating range anxiety and reducing charging expenses. This research implies that integrating DWC technology into public transit systems can enhance the feasibility and cost-effectiveness of electric bus operations, promoting sustainable urban mobility.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Applied Energy Home Page:

http://www.sciencedirect.com/science/journal/03062619

Recommended Citation

Sun, R., Luo, Q., & Chen, Y. (2024). Optimizing dynamic wireless charging for electric buses: A data-driven approach to infrastructure planning. Applied energy, 373, 123912.