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Thermal model of electromechanical flywheel with brushless DC machine
Authors: Paul Barendse; Pragasen Pillay; R. Okou; Mohamed Azeem Khan;
Abstract
A thermal model of an electromechanical flywheel with a brushless DC machine is presented. Thermal analysis is particularly important during vacuum operation of the flywheel. Accurate prediction of temperature facilitates material selection, structural integrity and good performance. In addition, the choice of vacuum level, bearings, conductor sizes and system overload capability can be attributed to a good thermal model. A thermal model was developed and simulated on MATLAB Simulink. The simulation results were compared with experimental results and a good correlation was observed.
Related Organizations
- University of Chicago United States
- University of Cape Town South Africa
- Concordia University Canada
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
1
Average
Average
Average