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An optimal charging scheduling model and algorithm for electric buses

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  • Bao, Zhaoyao
  • Li, Jiapei
  • Bai, Xuehan
  • Xie, Chi
  • Chen, Zhibin
  • Xu, Min
  • Shang, Wen-Long
  • Li, Hailong

Abstract

Electrification poses a promising low-carbon or even zero-carbon transportation solution, serving as a strategic approach to reducing carbon emissions and promoting carbon neutrality in the transportation sector. Along the transportation electrification pathway, the goal of carbon neutrality can be further accelerated with an increasing amount of electricity being generated from renewable energies. The past decade observed the rapid development of battery technologies and deployment of electricity infrastructure worldwide, fostering transportation electrification to expand from railways to light and then heavy vehicles on roadways. In China, a massive number of electric buses have been employed and operated in dozens of metropolises. An important daily operations issue with these urban electric buses is how to coordinate their charging activities in a cost-effective manner, considering various physical, financial, institutional, and managerial constraints.

Suggested Citation

  • Bao, Zhaoyao & Li, Jiapei & Bai, Xuehan & Xie, Chi & Chen, Zhibin & Xu, Min & Shang, Wen-Long & Li, Hailong, 2023. "An optimal charging scheduling model and algorithm for electric buses," Applied Energy, Elsevier, vol. 332(C).
    • Handle: RePEc:eee:appene:v:332:y:2023:i:c:s030626192201769x
    DOI: 10.1016/j.apenergy.2022.120512
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    References listed on IDEAS

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    2. Momcilovic, Vladimir & Dimitrijevic, Branka & Stokic, Marko, 2023. "Supercapacitor electric bus modeling and simulation framework," Energy, Elsevier, vol. 282(C).

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