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Title: Traction machines for automotive applications : efficiency maps for permanent magnet machines
Author: Aigbomian, Anthony Omonzejele
ISNI:       0000 0004 7227 385X
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2015
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This research work proposes a fast computing tool for performance evaluation of electrical machines. It focuses on Interior Permanent Magnet (IPM) machines, where a combination of Finite-Element (FE) method and mathematical approximations are used to predict iron losses and eddy current losses in the magnets in addition to torque-speed characteristics. These losses are then used to generate the efficiency map of the machine following a set criterion. The adopted tool is based on FE and computes the complete machines' characteristic semi-analytically without any further FE computation. For the initial analysis and model verification a 16-pole 24-slot Interior Permanent Magnet (IPM) is adopted. The results obtained, compared to completely FE-based solution show that the proposed tool predicts the electromagnetic losses effectively within less computation time. Finally, Experimental work done on an existing IPM traction machine is described and the obtained results are confronted to the predicted ones.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available