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August 21, 2025EnergiesOpen Access

Interactive Optimization of Electric Bus Scheduling and Overnight Charging

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Authors

ZDZvonimir DabčevićUniversity of ZagrebJDJoško DeurUniversity of Zagreb

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Implication

Optimization framework reduces battery capacity and charging cost in electric bus operations, highlighting infrastructure needs.

Key Points

  • The proposed method reduces battery capacity while ensuring electric buses are fully recharged before daily operations, optimizing performance.
  • Using a mixed-integer linear program, the framework solves three stages of electric bus scheduling and charging efficiently.
  • Iterative optimization of charging schedules minimizes power capacity and costs, adapting to the depot layout constraints.
  • A real-world application reveals significant infrastructure savings, emphasizing sustainability in electric bus transit services.

Cite This Study

Dabčević et al. (2025) studied this question.

synapsesocial.com/papers/68af5701ad7bf08b1eadd549https://doi.org/10.3390/en18164440
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Also Consider

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  1. 1A Trip-Based Data-Driven Model for Predicting Battery Energy Consumption of Electric City Buses2024 · 18 citations
  2. 2Collaborative Optimization of Vehicle and Charging Scheduling for a Bus Fleet Mixed With Electric and Traditional Buses2020 · 113 citations