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.
|Title of host publication||AIAA Propulsion and Energy Forum and Exposition, 2019|
|State||Published - 2019|
|Event||AIAA Propulsion and Energy Forum and Exposition, 2019 - Indianapolis, United States|
Duration: Aug 19 2019 → Aug 22 2019
|Name||AIAA Propulsion and Energy Forum and Exposition, 2019|
|Conference||AIAA Propulsion and Energy Forum and Exposition, 2019|
|Period||8/19/19 → 8/22/19|
Bibliographical noteFunding 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.
© 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