Optimal battery electric bus system planning considering heterogeneous vehicles, opportunity charging, and battery degradation

  • Yongxing Wang
  • , Feixiong Liao
  • , Jun Bi
  • , Chaoru Lu (Corresponding author)

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Abstract

Battery electric buses (BEBs) have been seen as a viable alternative for sustainable mobility. The charger placement and fleet configuration play a crucial role in the operational efficiency of BEBs. In this study, a joint optimization model is developed to strategically plan the charger placement and fleet configuration for a BEB system. Distinct from existing research, we simultaneously incorporate opportunity charging, heterogeneous vehicles, and battery degradation to integratively minimize the costs of charger installation, BEB purchase, energy consumption, and battery degradation. Based on a model reformulation, a heuristic-exact hybrid solution method is customized to solve the model. A real-world case study from Oslo, Norway is provided to demonstrate the optimization model and solution method. The results indicate that the proposed model can reduce the total costs by 21.27 % in comparison to the conventional model. Sensitivity analyses are further conducted to provide insightful findings and managerial implications for BEB systems.
Original languageEnglish
Article number121596
Number of pages18
JournalRenewable Energy
Volume237
Issue numberPart A
DOIs
Publication statusPublished - Dec 2024

Funding

This work was supported by the National Natural Science Foundation of China (Grant 72301020 and 72171019) and the Direktoratet for h\u00F8yere utdanning og kompetanse (HK-dir) (UTF-2020/10115). Any opinions, findings, and conclusions expressed in this material are those of the authors and do not necessarily reflect the views of these organizations.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Battery degradation
  • Battery electric buses
  • Heterogeneous vehicles
  • Joint optimization
  • Opportunity charging

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