Diagnostics of Electric Drive Electric Vehicle with Valve Motor
Przeglad Elektrotechniczny 2023
Yurii Borodenko, Shchasiana Arhun, Andrii Hnatov, Nadežda Kuņicina, Mārtiņš Bisenieks, Vasiliy Migal

The reliability, safety and economy of the electric vehicle depend on the operation of the electric drive. Diagnosing malfunctions at startup avoid an accident by turning off the system power. Idle testing prevents an accident that may occur while driving. Monitoring the technical states of the electric power supply during the transport process provides an emergency operation mode by redistributing power between its elements. This model presents the results of testing the method of spectral analysis of electrical processes occurring in the power circuit of the electric power supply simulation model. The information content of spectrograms, as a characteristic of the diagnostic parameter, is determined by the options for setting up the FFT analyzer. These options are configured to a maximum frequency switching converter. And other is the sampling period of the spectral characteristic, and the fundamental frequency is selected as multiples of the rotation speed of the electric motor and the switching frequency of the inverter, taking into account the number of phases of the machine. This paper deals with faulty states of electric drive. It is associated with the failure of a functional element, the circuit (breakage or closure) or the deviation of the element parameters from the nominal values. In the first case, the structural identification problem, the system's state, is considered the second - parametric.


Keywords
data analysis | diagnostics | electric car | electric drive | simulation model | valve motor, high-voltage battery
DOI
10.15199/48.2023.06.07
Hyperlink
https://sigma-not.pl/publikacja-143738-2023-6.html

Borodenko, Y., Arhun, S., Hnatov, A., Kuņicina, N., Bisenieks, M., Migal, V. Diagnostics of Electric Drive Electric Vehicle with Valve Motor. Przeglad Elektrotechniczny, 2023, Vol. 2023, No. 6, pp.32-38. ISSN 0033-2097. Available from: doi:10.15199/48.2023.06.07

Publication language
English (en)
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