.png){kind=icon}
Return
Multi-Objective Optimization for Aircraft Power Systems Using a Network Graph Representation
.png){kind=icon}
PRE
AI
DOI：10.1109/TTE.2021.3066123.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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 article 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 possible architectures is formed, from which subgraphs that describe power system topologies meeting the flight requirements are extracted and analyzed. Optimal EAPS architectures with respect to goals of minimizing mass while maximizing efficiency and reliability can be subsequently selected from these subgraphs. The framework is exemplified on a 500-kW rated aircraft using data collected from surveys of component parameters, such as power density and efficiency. The presented results show a comparative analysis of different EAPS types with respect to the competing performance metrics of mass, efficiency, and survivability.
Keywords:
Aircraft
Aircraft propulsion
Ice
Energy storage
Power systems
Aircraft manufacture
Turbines
Electric aircraft
graph theory
optimization
power systems
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
I
IF:
8.3
Papers:
2.9K
Citations:
1.6W
Organization
Cited Papers
Propulsion System Component Considerations for NASA N3-X Turboelectric Distributed Propulsion System
PREAI
ShareSaveShareSaveState-of-the-Art and Energy Management System of Lithium-Ion Batteries in Electric Vehicle Applications:Issues and Recommendations.png)
IEEE ACCESS
IEEE ACCESSIF3.6
PREAI
ShareSaveMatching the organic and inorganic counterparts during nucleation and growth of copper-based nanoparticles – in situ spectroscopic studiesCrystEngComm
OAAI
CrystEngCommIF0
OAAIShareSaveFree volumes and their distribution in crosslinked polysiloxanes probed by positron annihilation lifetime techniquePolymer
PolymerIF0
PREAI
ShareSave
View more