Multi-Objective Optimization for Aircraft Power Systems Using a Network Graph Representation

Damien Lawhorn, Vandana Rallabandi, Dan M. Ionel

Research output: Contribution to journalArticlepeer-review

3 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 article 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 possible architectures is formed, from which subgraphs that describe power system topologies meeting the flight requirements are extracted and analyzed. Optimal EAPS architectures with respect to goals of minimizing mass while maximizing efficiency and reliability can be subsequently selected from these subgraphs. The framework is exemplified on a 500-kW rated aircraft using data collected from surveys of component parameters, such as power density and efficiency. The presented results show a comparative analysis of different EAPS types with respect to the competing performance metrics of mass, efficiency, and survivability.

Original languageEnglish
Pages (from-to)3021-3031
Number of pages11
JournalIEEE Transactions on Transportation Electrification
Volume7
Issue number4
DOIs
StatePublished - Dec 1 2021

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Electric aircraft
  • graph theory
  • optimization
  • power systems

ASJC Scopus subject areas

  • Automotive Engineering
  • Transportation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Multi-Objective Optimization for Aircraft Power Systems Using a Network Graph Representation'. Together they form a unique fingerprint.

Cite this