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Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level Based on Battery Aging

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Intelligent Control and Smart Energy Management

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 181))

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Abstract

This chapter focuses on a hierarchical energy management strategy design methodology for total cost of ownership management at fleet level. A state of the art is presented of the different proposed learning-based energy management strategies and fleet energy management approaches. Digitalization, the new trend of monitoring the operation of each vehicle, and cloud computing new techniques, allowing to carry out heavier calculations on servers, have derived from new energy management strategy techniques and degrees of freedom. The fleet operation data acquisition allows to upgrade the management level from the local vehicle level to the fleet level. The fleet-level point of view facilitates the decisions when updating the energy management strategy and gives an additional degree of freedom of managing and optimizing the whole fleet. To exploit the new degrees of freedom, the fleet is reorganized, and the energy management strategy is updated throughout the bus lifetime. These decisions are made based on the planned total cost of ownership for each type of plug-in hybrid electric bus with determined battery chemistry. The most suitable decisions will be evaluated according to each type of bus, optimizing the total cost of ownership further. Improvements of the whole total cost of ownership in both fleets have been obtained, proving the need of EMS update and fleet reorganization.

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Authors and Affiliations

  1. Engineering Department, Jema Energy, Lasarte-Oria, Spain

    Jon Ander López-Ibarra

  2. Energy Storage and Management, IKERLAN Technology Research Centre, BRTA, Arrasate, Mondragón, Spain

    Haizea Gaztañaga, Josu Olmos & Andoni Saez-de-Ibarra

  3. Department of Systems Engineering and Control, University of the Basque Country (UPV/EHU), Faculty of Engineering of Gipuzkoa, Plaza de Europa and Univ. Bordeaux, Estia Institute of Technology, Bidart, France

    Haritza Camblong

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  1. Jon Ander López-Ibarra
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  5. Haritza Camblong
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Correspondence to Jon Ander López-Ibarra .

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Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Université de Sherbrooke, Sherbrooke, QC, Canada

    Maude Josée Blondin

  2. Department of Electrical and Computer Engineering, Université de Sherbrooke, Sherbrooke, QC, Canada

    João Pedro Fernandes Trovão

  3. Department of Electronics, Carleton University, Ottawa, ON, Canada

    Hicham Chaoui

  4. Department of Industrial & Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

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López-Ibarra, J.A., Gaztañaga, H., Olmos, J., Saez-de-Ibarra, A., Camblong, H. (2022). Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level Based on Battery Aging. In: Blondin, M.J., Fernandes Trovão, J.P., Chaoui, H., Pardalos, P.M. (eds) Intelligent Control and Smart Energy Management. Springer Optimization and Its Applications, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-030-84474-5_2

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