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Title:Electromagnetic-thermal modeling for high-frequency air-core permanent magnet motor of aircraft application
Author(s):Yi, Xuan
Advisor(s):Haran, Kiruba
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Electrical Machines
Multi-Physics Modeling
Abstract:A 1 MW high-frequency air-core permanent-magnet (PM) motor, with power density over 13.8 kW/kg (8 hp/lb) and efficiency over 96\%, is proposed for NASA hybrid-electric aircraft application. In order to maximize power density of the proposed motor topology, a large-scale multi-physics optimization is needed to obtain the best design candidates, which is not favorable for current electrical machine software. Therefore, developing electromagnetic (EM) and thermal analytical methods with computational efficiency and decent accuracy is a key enabling factor for future multi-physics optimization of motor power density. In this thesis, the detailed development process of electromagnetic analytical modeling for the proposed machine will be presented and verified with finite element analysis (FEA). Corresponding heat loads, including electrical and mechanical losses, will be quantified rigorously to assess efficiency and prepare for the following thermal analysis. Furthermore, accurate physical-thermal conductivities of different machine components are required to eliminate uncertainties in thermal performance prediction. One arising challenge is to quantify the equivalent thermal conductivity of a complicated composite component --- the winding --- which is also the most critical one regarding overheating risks. Detailed methods of quantifying winding equivalent thermal conductivity will be presented, discussed, and verified with a bench test. The last step in EM-thermal modeling is using a simplified thermal equivalent circuit to quickly detect hotspot temperature and therefore to eliminate infeasible machine designs efficiently. Similar to EM modeling, rigorous thermal analytical modeling will be presented and verified with FEA results.
Issue Date:2016-12-09
Rights Information:Copyright 2016 Xuan Yi
Date Available in IDEALS:2017-03-01
Date Deposited:2016-12

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