Abstract
Aircraft electrification is an enabling technology to achieve zero emissions within the aviation industry. Designing power conversion systems for aircraft applications requires the concurrent consideration of power density, efficiency, and reliability. Since these objectives cannot be optimized simultaneously, a Pareto front of designs which show adequate trade-offs between multiple objectives is desired. This work proposes a multi-objective design optimization method using a genetic algorithm to quickly and accurately produce candidate designs of an electric aircraft propulsion converter. A topology comparison between multiple voltage source converters is conducted to determine each converter's suitability to aircraft propulsion applications.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 |
| Pages | 1836-1842 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798350316445 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 - Nashville, United States Duration: Oct 29 2023 → Nov 2 2023 |
Publication series
| Name | 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 |
|---|
Conference
| Conference | 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 |
|---|---|
| Country/Territory | United States |
| City | Nashville |
| Period | 10/29/23 → 11/2/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Multi-objective design optimization
- efficiency
- electric aircraft propulsion
- power converters
- power density
- reliability
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
