Scalable graph theory approach for electric aircraft power system optimization

D. Lawhorn; V. Rallabandi; D. M. Ionel

doi:10.2514/6.2019-4488

Scalable graph theory approach for electric aircraft power system optimization

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	AIAA Propulsion and Energy Forum and Exposition, 2019
DOIs	https://doi.org/10.2514/6.2019-4488
State	Published - 2019
Event	AIAA Propulsion and Energy Forum and Exposition, 2019 - Indianapolis, United States Duration: Aug 19 2019 → Aug 22 2019

Publication series

Name	AIAA Propulsion and Energy Forum and Exposition, 2019

Conference

Conference	AIAA Propulsion and Energy Forum and Exposition, 2019
Country/Territory	United States
City	Indianapolis
Period	8/19/19 → 8/22/19

Bibliographical note

Funding Information:
The support of this research by the National Aeronautics and Space Administration, through the NASA Grant no. KY GF-19-051, is gratefully acknowledged.

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

ASJC Scopus subject areas

Energy (all)
Aerospace Engineering
Electrical and Electronic Engineering
Control and Systems Engineering
Mechanical Engineering

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10.2514/6.2019-4488

Cite this

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title = "Scalable graph theory approach for electric aircraft power system optimization",

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.",

author = "D. Lawhorn and V. Rallabandi and Ionel, {D. M.}",

note = "Funding Information: The support of this research by the National Aeronautics and Space Administration, through the NASA Grant no. KY GF-19-051, is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.; null ; Conference date: 19-08-2019 Through 22-08-2019",

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AU - Rallabandi, V.

AU - Ionel, D. M.

N1 - Funding Information: The support of this research by the National Aeronautics and Space Administration, through the NASA Grant no. KY GF-19-051, is gratefully acknowledged. Publisher Copyright: © 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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T3 - AIAA Propulsion and Energy Forum and Exposition, 2019

BT - AIAA Propulsion and Energy Forum and Exposition, 2019

Y2 - 19 August 2019 through 22 August 2019

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Scalable graph theory approach for electric aircraft power system optimization

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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