Plug-in hybrid electric buses total cost of ownership optimization at fleet level based on battery aging
| Autor: | Jon Ander Lopez-Ibarra, Haritza Camblong, Haizea Gaztanaga, Andoni Saez-de-Ibarra |
|---|---|
| Přispěvatelé: | Universidad del Pais Vasco / Euskal Herriko Unibertsitatea [Espagne] (UPV/EHU), ESTIA Recherche, Ecole Supérieure des Technologies Industrielles Avancées (ESTIA) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Battery (electricity)
Neuro-fuzzy Operations research Energy management Computer science 020209 energy 02 engineering and technology Management Monitoring Policy and Law computer.software_genre 7. Clean energy 020401 chemical engineering [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering 0202 electrical engineering electronic engineering information engineering Plug-in 0204 chemical engineering Design methods ComputingMilieux_MISCELLANEOUS business.industry Mechanical Engineering Building and Construction Total cost of ownership Dynamic programming General Energy business computer Fleet management |
| Zdroj: | Applied Energy Applied Energy, Elsevier, 2020, 280, pp.115887. ⟨10.1016/j.apenergy.2020.115887⟩ |
| ISSN: | 0306-2619 |
| DOI: | 10.1016/j.apenergy.2020.115887⟩ |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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