Uncertainty Quantification of a Parallel Hybrid-Electric Propulsion EPFD Vehicle

Uzodinma, Jaylon; Zaidi, Turab; Walter, Miguel; Gautier, Raphael; Mavris, Dimitri N.

Title:

Uncertainty Quantification of a Parallel Hybrid-Electric Propulsion EPFD Vehicle

dc.contributor.author	Uzodinma, Jaylon
dc.contributor.author	Zaidi, Turab
dc.contributor.author	Walter, Miguel
dc.contributor.author	Gautier, Raphael
dc.contributor.author	Mavris, Dimitri N.
dc.contributor.corporatename	Georgia Institute of Technology. Aerospace Systems Design Laboratory	en_US
dc.contributor.corporatename	American Institute of Aeronautics and Astronautics
dc.contributor.corporatename	Georgia Institute of Technology. Aerospace Systems Design Laboratory
dc.date.accessioned	2023-02-03T15:44:19Z
dc.date.available	2023-02-03T15:44:19Z
dc.date.issued	2023-01
dc.description	Presented at the American Institute of Aeronautics and Astronautics (AIAA) SciTech 2023 Forum	en_US
dc.description.abstract	The NASA Electrified Powertrain Flight Demonstration (EPFD) program is a collaboration between industry and academia to accelerate the development and implementation of megawatt-class power systems in commercial aviation. Technology development programs are often associated with cost, performance, and schedule risks, which can result from technical uncertainty. To assess and offer insight to effective mitigation of risks associated with the NASA EPFD program, an uncertainty quantification analysis for future hybrid-electric commercial aircraft is addressed. An uncertainty analysis is presented for the electrified aircraft propulsion systems of a 150-passenger hybrid-electric aircraft model. Uncertainty at the component-level of the powertrain system is considered and its effect is propagated to vehicle-level metrics. The primary focus is identifying and assessing the key uncertain technological inputs driving the variability of the vehicle’s performance responses.	en_US
dc.description.sponsorship	National Aeronautics and Space Administration (NASA) WD-002344 (NIA-602015)	en_US
dc.identifier.citation	Jaylon Uzodinma, Turab Zaidi, Miguel Walter, Raphael Gautier and Dimitri N. Mavris. "Uncertainty Quantification on a Parallel Hybrid-Electric Propulsion EPFD Vehicle," AIAA 2023-0839. AIAA SCITECH 2023 Forum. January 2023. DOI: https://doi.org/10.2514/6.2023-0839	en_US
dc.identifier.doi	https://doi.org/10.2514/6.2023-0839	en_US
dc.identifier.uri	http://hdl.handle.net/1853/70261
dc.language.iso	en_US	en_US
dc.publisher	AIAA	en_US
dc.publisher	Georgia Institute of Technology
dc.publisher.original	American Institute of Aeronautics and Astronautics (AIAA)
dc.relation.ispartofseries	ASDL;
dc.relation.ispartofseries	ASDL; AIAA
dc.subject	Uncertainty quantification	en_US
dc.subject	Hybrid-Electric Propulsion	en_US
dc.subject	Aircraft design	en_US
dc.subject	Sustainability	en_US
dc.subject	Electrified aircraft	en_US
dc.title	Uncertainty Quantification of a Parallel Hybrid-Electric Propulsion EPFD Vehicle	en_US
dc.type	Text
dc.type.genre	Paper
dspace.entity.type	Publication
local.contributor.author	Mavris, Dimitri N.
local.contributor.corporatename	Daniel Guggenheim School of Aerospace Engineering
local.contributor.corporatename	Aerospace Systems Design Laboratory (ASDL)
local.contributor.corporatename	College of Engineering
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