Scalable graph theory approach for electric aircraft power system optimization

D. Lawhorn, V. Rallabandi, D. M. Ionel

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

3 Scopus citations

Abstract

This work proposes an approach to optimize the power system configuration in electric aircrafts. The proposed approach, intended to be used as an early stage design tool, includes the utilization of mathematical methods such as graph theory to identify optimal solutions with regard to the number of components as well as interconnection and placement within the power system. Subsystems and components are represented as nodes, and properties such as power and energy density, efficiency, and capacity are assigned to them. Aircraft power system optimization is a non-linear multi-objective problem and stochastic techniques may be required for its solution. Such techniques often require a large number of possible candidate power system configurations, which would be facilitated by the proposed network graph approach. Objectives include total system mass, efficiency, reliability, and a composite cost function, which is a weighted combination of these, can be formulated.

Original languageEnglish
Title of host publicationAIAA Propulsion and Energy Forum and Exposition, 2019
DOIs
StatePublished - 2019
EventAIAA Propulsion and Energy Forum and Exposition, 2019 - Indianapolis, United States
Duration: Aug 19 2019Aug 22 2019

Publication series

NameAIAA Propulsion and Energy Forum and Exposition, 2019

Conference

ConferenceAIAA Propulsion and Energy Forum and Exposition, 2019
Country/TerritoryUnited States
CityIndianapolis
Period8/19/198/22/19

Bibliographical note

Publisher Copyright:
© 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

ASJC Scopus subject areas

  • General Energy
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Mechanical Engineering

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