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

Ruixiao Sun; Qi Luo; Yuche Chen

doi:10.1016/j.apenergy.2024.123912

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

Ruixiao Sun
, Qi Luo
, Yuche Chen

Applied Research for Mobility Systems

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

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.

Original language	English
Article number	123912
Journal	Applied Energy
Volume	373
DOIs	https://doi.org/10.1016/j.apenergy.2024.123912
State	Published - Nov 1 2024

Funding

This manuscript has been authored in part by UT-Battle, LLC, under contract DE-AC05-OR22725 with the US Department of Energy (DOE). Additional support is provided by the University of South Carolina. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the United States Government of any agency thereof. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuancy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

Keywords

Battery electric bus
Bus frequency setting
Dynamic wireless charging
Infrastructure deployment

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10.1016/j.apenergy.2024.123912

Cite this

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

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.",

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AU - Sun, Ruixiao

AU - Luo, Qi

AU - Chen, Yuche

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Y1 - 2024/11/1

N2 - 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.

AB - 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.

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KW - Bus frequency setting

KW - Dynamic wireless charging

KW - Infrastructure deployment

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DO - 10.1016/j.apenergy.2024.123912

M3 - Article

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VL - 373

JO - Applied Energy

JF - Applied Energy

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ER -

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

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