Abstract
The advent of electrified aviation has ushered in a greater need for energy efficient, power dense, reliability-oriented design of power conversion systems. Conventionally, the entire design process consumes large quantities of time, effort, and engineering resources. To address this problem, this paper proposes a genetic algorithm enabled multi-objective design optimization framework by which one can quickly generate many iterations of a back-to-back current source converter for turboelectric aircraft propulsion systems. The automated design methodology can locate optimal trade-offs between design objectives (i.e., reliability, power density, energy efficiency, cost, etc.) and generate the Pareto front for a user-specified optimization problem.
Original language | English |
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Title of host publication | ITEC Asia-Pacific 2023 - 2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific |
ISBN (Electronic) | 9798350314274 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2023 - Chiang Mai, Thailand Duration: Nov 28 2023 → Dec 1 2023 |
Publication series
Name | ITEC Asia-Pacific 2023 - 2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific |
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Conference
Conference | 2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2023 |
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Country/Territory | Thailand |
City | Chiang Mai |
Period | 11/28/23 → 12/1/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- current source power converter
- high efficiency
- high power density
- high reliability
- multi-objective design optimization
- Turboelectric aircraft propulsion
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Aerospace Engineering
- Automotive Engineering
- Electrical and Electronic Engineering
- Transportation