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Digital twin of a hydrogen Fuel Cell Hybrid Electric Vehicle: Effect of the control strategy on energy efficiency.

Authors :
Bartolucci, Lorenzo
Cennamo, Edoardo
Cordiner, Stefano
Mulone, Vincenzo
Pasqualini, Ferdinando
Boot, Marco Aimo
Source :
International Journal of Hydrogen Energy. Jun2023, Vol. 48 Issue 54, p20971-20985. 15p.
Publication Year :
2023

Abstract

Decarbonization will allow the automotive sector to achieve net-zero greenhouse gases emissions. Electric and hydrogen vehicles will contribute to that final target. Fuel Cell Hybrid Electric Vehicles FCHEVs aim at solving some of the issues of the otherwise standalone options: higher range in comparison with Battery Electric Vehicles, and allowing the fuel cell to be downsized, operated at greater efficiency, and less exposed to degradation. In this paper, a FCHEV Digital Twin DT is proposed to characterize the vehicle behavior during the WLTP driving cycle with accurate modeling of the auxiliary systems. Two control strategies, Range Extender and optimized Fuzzy logic control, are compared to show the impact on the vehicle and components performance and highlight the impact, energy-wise, of such systems in the Balance of Plant. Increased range by nearly 30 km is demonstrated while simultaneously limiting load stresses on the battery pack. • Detailed modeling of Fuel Cell Hybrid Electric Vehicle (powertrain and auxiliaries). • Vehicle auxiliaries account for almost 35–45% of the total energy consumption. • Ambient temperature strongly impacts on vehicle range (up to 13% of reduction). • HVAC is the most impacting auxiliary subsystem from energy standpoint. • Optimized fuzzy logic control increases range up to 4.5% respect to Range Extender. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03603199
Volume :
48
Issue :
54
Database :
Academic Search Index
Journal :
International Journal of Hydrogen Energy
Publication Type :
Academic Journal
Accession number :
164155752
Full Text :
https://doi.org/10.1016/j.ijhydene.2022.11.283