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Charge scheduling for electric freight vehicles

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  • Pelletier, Samuel
  • Jabali, Ola
  • Laporte, Gilbert

Abstract

We consider a fleet of electric freight vehicles (EFVs) that must deliver goods to a set of customers over the course of multiple days. In an urban environment, EFVs are typically charged at a central depot and rarely use public charging stations during delivery routes. Therefore, the charging schedule at the depot must be planned ahead of time so as to allow the vehicles to complete their routes at minimal cost. Vehicle fleet operators are subject to commercial electricity rate plans, which should be accounted for in order to provide an accurate estimation of the energy-related costs and restrictions. In addition, high vehicle utilization rates can accelerate battery aging, thereby requiring degradation mitigation considerations. We develop and solve a comprehensive mathematical model that incorporates a large variety of features associated with the use of EFVs. These include a realistic charging process, time-dependent energy costs, battery degradation, grid restrictions, and facility-related demand charges. Extensive numerical experiments are conducted in order to draw managerial insights regarding the impact of such features on the charging schedules of EFVs.

Suggested Citation

  • Pelletier, Samuel & Jabali, Ola & Laporte, Gilbert, 2018. "Charge scheduling for electric freight vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 246-269.
    • Handle: RePEc:eee:transb:v:115:y:2018:i:c:p:246-269
    DOI: 10.1016/j.trb.2018.07.010
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    18. Pelletier, Samuel & Jabali, Ola & Laporte, Gilbert, 2019. "The electric vehicle routing problem with energy consumption uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 225-255.
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