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Overall power train performance estimation from pseudo transient models

Arzberger, Max Josef (2021) Overall power train performance estimation from pseudo transient models. In: AIAA Propulsion and Energy 2021 Forum. AIAA/IEEE Electric Aircraft Technologies Symposium (EATS) 2021, 11.-13. Aug. 2021, Virtual Event. doi: 10.2514/6.2021-3315. ISBN 978-1-62410-611-8.

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Official URL: https://arc.aiaa.org/doi/book/10.2514/MPEF21


The generation of an overall propulsion system performance deck is key for the block fuel analysis of aircraft within an aircraft design workflow. In case of a hybrid electric propulsion system, it requires a sufficiently detailed modeling of the electric components and the turbo-machinery to generate such a deck. The values for the performance deck then result out of the steady-state solution of the drive train that needs to be found robustly despite non-linearities and dealing with novel limitations resulting from the electric machines. This paper describes how the author met this challenge by building a framework for the hybrid electric deck generation on top of a dedicated object-oriented modeling library for hybrid electric propulsion. A hybrid-electric single-aisle aircraft with an aft fan for boundary-layer ingestions thereby represents the prime application example.

Item URL in elib:https://elib.dlr.de/144717/
Document Type:Conference or Workshop Item (Speech)
Title:Overall power train performance estimation from pseudo transient models
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Arzberger, Max JosefMax.Arzberger (at) dlr.deUNSPECIFIED
Date:29 July 2021
Journal or Publication Title:AIAA Propulsion and Energy 2021 Forum
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.2514/6.2021-3315
Series Name:AIAA Propulsion and Energy 2021 Forum
Keywords:transient models, electric engine modeling, electrified propulsion, turboelectric propulsion, propulsion system performance, micro grid, drop control, load shedding, power management
Event Title:AIAA/IEEE Electric Aircraft Technologies Symposium (EATS) 2021
Event Location:Virtual Event
Event Type:international Conference
Event Dates:11.-13. Aug. 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control
Deposited By: Arzberger, Max Josef
Deposited On:25 Oct 2021 15:23
Last Modified:25 Oct 2021 15:23

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