TY - GEN
T1 - An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks
AU - Tejeda, Asier Alonso
AU - Revuelta, Borja Hériz
AU - Marcos, Miguel Allende
AU - Makazaga, Iban Vicente
AU - Arce, Pablo Prieto
AU - Rastelli, Joshue Pérez
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85186499155&partnerID=8YFLogxK
U2 - 10.1109/ITSC57777.2023.10422454
DO - 10.1109/ITSC57777.2023.10422454
M3 - Conference contribution
AN - SCOPUS:85186499155
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 298
EP - 305
BT - 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Y2 - 24 September 2023 through 28 September 2023
ER -