An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks

Asier Alonso Tejeda; Borja Hériz Revuelta; Miguel Allende Marcos; Iban Vicente Makazaga; Pablo Prieto Arce; Joshue Pérez Rastelli

doi:10.1109/ITSC57777.2023.10422454

An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks

Asier Alonso Tejeda
, Borja Hériz Revuelta
, Miguel Allende Marcos
, Iban Vicente Makazaga
, Pablo Prieto Arce
, Joshue Pérez Rastelli

Fundación TECNALIA Research & Innovation

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

5 Citas (Scopus)

Resumen

Fuel Cell Serial Hybrid heavy-duty trucks are expected to progressively replace diesel trucks due to their negative contribution to climate change. This transition entails adapting the actual fleets to new layouts, which requires an accurate sizing of the new components. Hence, in this paper a digital twin of a fuel cell hybrid truck is developed and a route-dependant process for finding the optimal sizing of the battery and the fuel cell is proposed. Three different optimization algorithms (gradient descent, pattern search and simplex search) are described, studied and their results are comprehensively compared.

Idioma original	Inglés
Título de la publicación alojada	2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	298-305
Número de páginas	8
ISBN (versión digital)	9798350399462
DOI	https://doi.org/10.1109/ITSC57777.2023.10422454
Estado	Publicada - 2023
Evento	26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 - Bilbao, Espana Duración: 24 sept 2023 → 28 sept 2023

Serie de la publicación

Nombre	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (versión impresa)	2153-0009
ISSN (versión digital)	2153-0017

Conferencia

Conferencia	26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
País/Territorio	Espana
Ciudad	Bilbao
Período	24/09/23 → 28/09/23

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

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10.1109/ITSC57777.2023.10422454

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Tejeda, A. A., Revuelta, B. H., Marcos, M. A., Makazaga, I. V., Arce, P. P., & Rastelli, J. P. (2023). An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks. En 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023 (pp. 298-305). (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC57777.2023.10422454

Tejeda, Asier Alonso ; Revuelta, Borja Hériz ; Marcos, Miguel Allende et al. / An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks. 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 298-305 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

@inproceedings{856ba1d6860948d19592bb916ab33f28,

title = "An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks",

abstract = "Fuel Cell Serial Hybrid heavy-duty trucks are expected to progressively replace diesel trucks due to their negative contribution to climate change. This transition entails adapting the actual fleets to new layouts, which requires an accurate sizing of the new components. Hence, in this paper a digital twin of a fuel cell hybrid truck is developed and a route-dependant process for finding the optimal sizing of the battery and the fuel cell is proposed. Three different optimization algorithms (gradient descent, pattern search and simplex search) are described, studied and their results are comprehensively compared.",

author = "Tejeda, \{Asier Alonso\} and Revuelta, \{Borja H{\'e}riz\} and Marcos, \{Miguel Allende\} and Makazaga, \{Iban Vicente\} and Arce, \{Pablo Prieto\} and Rastelli, \{Joshue P{\'e}rez\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 ; Conference date: 24-09-2023 Through 28-09-2023",

year = "2023",

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language = "English",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

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}

Tejeda, AA, Revuelta, BH, Marcos, MA, Makazaga, IV, Arce, PP & Rastelli, JP 2023, An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks. En 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Institute of Electrical and Electronics Engineers Inc., pp. 298-305, 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023, Bilbao, Espana, 24/09/23. https://doi.org/10.1109/ITSC57777.2023.10422454

An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks. / Tejeda, Asier Alonso; Revuelta, Borja Hériz; Marcos, Miguel Allende et al.
2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 298-305 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks

AU - Tejeda, Asier Alonso

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AU - Rastelli, Joshue Pérez

PY - 2023

Y1 - 2023

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AB - Fuel Cell Serial Hybrid heavy-duty trucks are expected to progressively replace diesel trucks due to their negative contribution to climate change. This transition entails adapting the actual fleets to new layouts, which requires an accurate sizing of the new components. Hence, in this paper a digital twin of a fuel cell hybrid truck is developed and a route-dependant process for finding the optimal sizing of the battery and the fuel cell is proposed. Three different optimization algorithms (gradient descent, pattern search and simplex search) are described, studied and their results are comprehensively compared.

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M3 - Conference contribution

AN - SCOPUS:85186499155

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Tejeda AA, Revuelta BH, Marcos MA, Makazaga IV, Arce PP, Rastelli JP. An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks. En 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 298-305. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC57777.2023.10422454

An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks

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