Journal article
Optimizing dynamic wireless charging for electric buses: A data-driven approach to infrastructure planning
Applied energy, Vol.373, 123912
11/01/2024
DOI: 10.1016/j.apenergy.2024.123912
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.
Details
- Title: Subtitle
- Optimizing dynamic wireless charging for electric buses: A data-driven approach to infrastructure planning
- Creators
- Ruixiao Sun - Oak Ridge National LaboratoryQi Luo - Clemson UniversityYuche Chen - Vanderbilt University
- Resource Type
- Journal article
- Publication Details
- Applied energy, Vol.373, 123912
- DOI
- 10.1016/j.apenergy.2024.123912
- ISSN
- 0306-2619
- eISSN
- 1872-9118
- Publisher
- Elsevier
- Number of pages
- 13
- Grant note
- University of South Carolina US Department of Energy (DOE); United States Department of Energy (DOE) DE-AC05-OR22725 / UT -Battle, LLC
- Language
- English
- Electronic publication date
- 07/17/2024
- Date published
- 11/01/2024
- Academic Unit
- Business Analytics
- Record Identifier
- 9984696829602771
Metrics
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