TY - CONF
T1 - Investigation of Traction Motor Windings' Insulation Capacitance at Switching Frequencies under Accelerated Thermal Stress
AU - Panagiotou, Panagiotis
AU - Gyftakis, Konstantinos N.
AU - Lophitis, Neophytos
AU - McCulloch, Malcolm D.
AU - Howey, David A.
N1 - Conference code: 11
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
M3 - Paper
T2 - 11th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
Y2 - 29 August 2017 through 1 September 2017
ER -