Research output per year
Research output per year
P. A. Panagiotou, K. N. Gyftakis, N. Lophitis, M. D. McCulloch, D. A. Howey
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
Machines in electric vehicles are driven by switching power electronic devices and undergo variable load cycling. In transient conditions high currents and temperatures develop, forcing the electric motor and particularly the insulation materials to undergo severe multi-stress. Insulation degradation will progressively lead to short-circuits which are harmful for the traction motor, vehicle safety and reliability. This paper focuses on the thermal assessment of insulation's capacitance at switching frequencies. For this, thin-film winding insulation samples were thermally aged at different temperatures and for various periods of time. Dielectric spectroscopy was applied and the capacitance information at different frequencies was extracted. The measurements were substituted to statistical analysis under three factors namely; ageing time, temperature and frequency. It is also evaluated how appropriate it is to use capacitance measurements as a means for reliable prognostics. The statistical analysis depicts that the capacitance does not follow predictable ageing patterns, mainly because the material's dielectric properties are affected by a number of different degradation mechanisms that occur concurrently.
Original language | English |
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Title of host publication | Proceedings of the 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 537-543 |
Number of pages | 7 |
Volume | 2017-January |
ISBN (Electronic) | 9781509004096 |
DOIs | |
Publication status | Published - 6 Oct 2017 |
Event | 11th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives - Tinos, Greece Duration: 29 Aug 2017 → 1 Sept 2017 Conference number: 11 https://www.egr.msu.edu/sdemped2017/home |
Conference | 11th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives |
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Abbreviated title | SDEMPED 2017 |
Country/Territory | Greece |
City | Tinos |
Period | 29/08/17 → 1/09/17 |
Internet address |
Research output: Contribution to conference › Paper › peer-review