Integrated Optimal Design for Hybrid Electric Powertrain of Future Aircrafts
Matthieu Pettes-Duler,
Xavier Roboam () and
Bruno Sareni
Additional contact information
Matthieu Pettes-Duler: Airbus ExO Alpha SAS, 31700 Blagnac, France
Xavier Roboam: Laplace, UMR CNRS-INPT-UPS, Université de Toulouse, ENSEEIHT 2 Rue Camichel, CEDEX 07, 31071 Toulouse, France
Bruno Sareni: Laplace, UMR CNRS-INPT-UPS, Université de Toulouse, ENSEEIHT 2 Rue Camichel, CEDEX 07, 31071 Toulouse, France
Energies, 2022, vol. 15, issue 18, 1-25
Abstract:
This paper presents the integrated optimal design of the powertrain of a hybrid regional aircraft using multidisciplinary design optimization (MDO). The sizing of the main components of the propulsion chain is performed over the flight mission under various scenarios regarding energy management strategies and technological assessments. For that purpose, a complete set of multidisciplinary surrogate models are integrated into the MDO process, taking account not only of the main electrical, thermal and mechanical aspects but also of environmental constraints such as partial discharges in electric motors regarding flight conditions. Several MDO formulations are investigated comparing local (i.e., motor mass minimization) and global optimizations (i.e., powertrain mass then fuel burn minimization at aircraft level). Results emphasize main systemic couplings showing that despite future technological progress, the series hybrid architecture is heavier than a conventional thermal aircraft. Nevertheless, thanks to the whole aircraft optimization, potential gains related to kerosene consumption can be reached, reducing the environmental footprint. The “energy gains” focused on in this paper may be added with aerodynamic gains potentially involved in more electric powertrain. This work has been carried out in the frame of the HASTECS project under the Clean Sky II program which aims at reducing CO 2 emissions and environmental impacts of the aviation sector.
Keywords: more electric aircraft; integrated optimal design; multidisciplinary design optimization; hybrid propulsion; hybridization; energy management; powertrain; fuel cells (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:18:p:6719-:d:914783
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