A network graph technique for the design of electric aircraft power systems

Damien Lawhorn, Vandana Rallabandi, Dan M. Ionel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Today the electrification of flight is more popular than ever, creating a wide array of concept aircraft and associated power system topologies. In order to gain insights into benefits of these varying architectures, this paper introduces the development of a framework for electric aircraft power system (EAPS) optimization. The proposed framework accepts inputs from a designer in the form of component parameters and desired flight mission characteristics. A collective graph representing many architectures is formed, from which, subgraphs or power system topologies meeting the flight requirements are extracted and analyzed. An optimum topology meeting the flight requirements with minimum mass, maximum efficiency and reliability can be subsequently selected from these subgraphs. The presented results include the comparative analysis of different EAPS types with respect to the competing performance metrics of mass and efficiency.

Original languageEnglish
Title of host publication2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages809-813
Number of pages5
ISBN (Electronic)9781728146294
DOIs
StatePublished - Jun 2020
Externally publishedYes
Event2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 - Chicago, United States
Duration: Jun 23 2020Jun 26 2020

Publication series

Name2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020

Conference

Conference2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020
Country/TerritoryUnited States
CityChicago
Period06/23/2006/26/20

Keywords

  • electric aircraft
  • graph theory
  • optimization
  • power systems

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