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Thesis.pdf (1.42 MB)
ETD Abstract Container
Abstract Header
Analysis of Aircraft Power Systems, Including System Modeling and Energy Optimization, with Predictions of Future Aircraft Development
Author Info
Alexander, Richard
ORCID® Identifier
http://orcid.org/0000-0003-2949-625X
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1523541008209354
Abstract Details
Year and Degree
2018, Master of Science, Ohio State University, Electrical and Computer Engineering.
Abstract
The aviation industry has been one of the biggest beneficiaries of the major rise in electric power system technology for the past several decades. With more electric aircraft (MEA) now defining the new industry standard, the new future vision is toward all-electric aircraft, wherein conventional power systems and propulsion sources are electrified. Achieving all-electric aircraft will require optimization of energy source usage onboard existing MEA. By first considering the problem under a simplified environment, such as a hybrid unmanned aerial vehicle (UAV) power system, energy optimization techniques can be explored before being considered for larger applications. This work first presents a method for system modeling and optimizing the usage of energy sources for a hybrid UAV system. The energy optimization is presented through a dynamic programming algorithm, which considers the system under only the fundamental constraints. The system modeling aspect is presented as a virtual UAV model, which considers all of the nonlinear constraints present upon the system. The virtual UAV model validates the results from the algorithm to ensure the anticipated operation is feasible under realistic system constraints. This work then uses the results from the hybrid UAV study, and extends it to a study of larger commercial aircraft with the focus being on the transition to all-electric aircraft. Power system architectures, voltage levels, power requirements, and load characteristics are examined on existing electric vehicle applications, and predictions are made of what the future all-electric aircraft will look like. Additionally, the primary challenges of accomplishing “all-electric” status are discussed, including existing propulsion methods and battery chemistry. Finally, the paper discusses some recent advances toward all-electric aircraft, which further shows the bright future for the all-electric aircraft.
Committee
Jiankang Wang, Dr. (Advisor)
Jin Wang, Dr. (Committee Member)
Pages
76 p.
Subject Headings
Electrical Engineering
Keywords
All-Electric Aircraft
;
More Electric Aircraft
;
Electric Power System
;
Batteries
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Citations
Alexander, R. (2018).
Analysis of Aircraft Power Systems, Including System Modeling and Energy Optimization, with Predictions of Future Aircraft Development
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523541008209354
APA Style (7th edition)
Alexander, Richard.
Analysis of Aircraft Power Systems, Including System Modeling and Energy Optimization, with Predictions of Future Aircraft Development.
2018. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1523541008209354.
MLA Style (8th edition)
Alexander, Richard. "Analysis of Aircraft Power Systems, Including System Modeling and Energy Optimization, with Predictions of Future Aircraft Development." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523541008209354
Chicago Manual of Style (17th edition)
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Document number:
osu1523541008209354
Download Count:
2,110
Copyright Info
© 2018, some rights reserved.
Analysis of Aircraft Power Systems, Including System Modeling and Energy Optimization, with Predictions of Future Aircraft Development by Richard Alexander is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.