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

Damien Lawhorn; Vandana Rallabandi; Dan M. Ionel

doi:10.1109/ITEC48692.2020.9161492

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 proceeding › Conference contribution › peer-review

2 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 language	English
Title of host publication	2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020
Pages	809-813
Number of pages	5
ISBN (Electronic)	9781728146294
DOIs	https://doi.org/10.1109/ITEC48692.2020.9161492
State	Published - Jun 2020
Event	2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 - Chicago, United States Duration: Jun 23 2020 → Jun 26 2020

Publication series

Name	2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020

Conference

Conference	2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020
Country/Territory	United States
City	Chicago
Period	6/23/20 → 6/26/20

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:
© 2020 IEEE.

Keywords

electric aircraft
graph theory
optimization
power systems

ASJC Scopus subject areas

Energy Engineering and Power Technology
Automotive Engineering
Transportation

Access to Document

10.1109/ITEC48692.2020.9161492

Cite this

@inproceedings{e0bfbe4c408e4efc85b353940d54b8f4,

title = "A network graph technique for the design of electric aircraft power systems",

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.",

keywords = "electric aircraft, graph theory, optimization, power systems",

author = "Damien Lawhorn and Vandana Rallabandi and Ionel, {Dan 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} 2020 IEEE.; null ; Conference date: 23-06-2020 Through 26-06-2020",

year = "2020",

month = jun,

doi = "10.1109/ITEC48692.2020.9161492",

language = "English",

series = "2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020",

pages = "809--813",

booktitle = "2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020",

}

Lawhorn, D, Rallabandi, V & Ionel, DM 2020, A network graph technique for the design of electric aircraft power systems. in 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020., 9161492, 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020, pp. 809-813, 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020, Chicago, United States, 6/23/20. https://doi.org/10.1109/ITEC48692.2020.9161492

A network graph technique for the design of electric aircraft power systems. / Lawhorn, Damien; Rallabandi, Vandana; Ionel, Dan M.

2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020. 2020. p. 809-813 9161492 (2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A network graph technique for the design of electric aircraft power systems

AU - Lawhorn, Damien

AU - Rallabandi, Vandana

AU - Ionel, Dan 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: © 2020 IEEE.

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

KW - electric aircraft

KW - graph theory

KW - optimization

KW - power systems

UR - http://www.scopus.com/inward/record.url?scp=85096624578&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85096624578&partnerID=8YFLogxK

U2 - 10.1109/ITEC48692.2020.9161492

DO - 10.1109/ITEC48692.2020.9161492

M3 - Conference contribution

AN - SCOPUS:85096624578

T3 - 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020

SP - 809

EP - 813

BT - 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020

Y2 - 23 June 2020 through 26 June 2020

ER -

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this