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Plug-in hybrid electric buses total cost of ownership optimization at fleet level based on battery aging

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  • López-Ibarra, Jon Ander
  • Gaztañaga, Haizea
  • Saez-de-Ibarra, Andoni
  • Camblong, Haritza

Abstract

In this paper a hierarchical energy management strategy design methodology for total cost of ownership management at fleet level is proposed. The decisions are taken from the fleet level point of view, to optimize the whole fleet based on the hierarchical decision maker and management, composed of three levels. The outer part is the offline route-to-bus data exploitation and decision maker, aiming to establish the dynamic programming optimization design. The next level is the offline optimization bus-to-route. Based on the previous decision, the neuro-fuzzy learns from the global optimal solutions. Finally, the trained fuzzy-logic strategy is used to manage the online operation. This fleet is re-organized and the online operation energy management strategy is updated throughout the bus lifetime. These decisions are made based on the evaluated battery lifetime of the fleet, with the aim to meet the planned total cost of ownership requirements. The total cost of ownership for the bus-to-route energy management strategy, has been improved a 7.65 % at fleet level against a charge-sustaining charge-depleting strategy. In the route-to-bus fleet re-organization and update, up to 5.51 % total cost of ownership improvement at fleet level has been obtained against not applying the fleet management.

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  • López-Ibarra, Jon Ander & Gaztañaga, Haizea & Saez-de-Ibarra, Andoni & Camblong, Haritza, 2020. "Plug-in hybrid electric buses total cost of ownership optimization at fleet level based on battery aging," Applied Energy, Elsevier, vol. 280(C).
    • Handle: RePEc:eee:appene:v:280:y:2020:i:c:s030626192031357x
    DOI: 10.1016/j.apenergy.2020.115887
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    Cited by:

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    2. Thomas Märzinger & David Wöss & Petra Steinmetz & Werner Müller & Tobias Pröll, 2021. "Novel Modelling Approach for the Calculation of the Loading Performance of Charging Stations for E-Trucks to Represent Fleet Consumption," Energies, MDPI, vol. 14(12), pages 1-15, June.
    3. Wang, Kung-Jeng & Basuki, Satrio Samudro Aji & Kurniati, Nani, 2023. "A life-cycle asset management model by response surface method based optimization," International Journal of Production Economics, Elsevier, vol. 263(C).
    4. Comello, Stephen & Glenk, Gunther & Reichelstein, Stefan, 2021. "Transitioning to clean energy transportation services: Life-cycle cost analysis for vehicle fleets," Applied Energy, Elsevier, vol. 285(C).

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