Next Article in Journal
Design and Thermal Simulation of Induction Machines for Traction in Electric and Hybrid Electric Vehicles
Previous Article in Journal
Realtime SMART Speed Pattern Generator for EVs taking account of Driver’s Command Change
World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

A Stator and Rotor Fault Detection Technique for Induction Machines in Traction Applications for Electric or Hybrid Electric Vehicles

Arsenal Research, Giefinggasse 2, 1210 Vienna, Austria
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2007, 1(1), 184-189; https://doi.org/10.3390/wevj1010184
Published: 28 December 2007
PDF [376 KB, uploaded 17 May 2018]

Abstract

Three phase induction machines for traction applications in electric and hybrid electric vehicles can be used with a fixed gear due to the wide speed range enabled by field weakening. Although the induction machine is know as an extremely reliable and robust device, machine faults may occur. Machine faults which do not become detected may cause complete failure of the vehicle. Therefore, early detection of machine faults must be seen as important contribution for reliability and predictive maintenance. Stator winding and rotor failures, however, are a serious problem of squirrel cage induction machines. In an electric or a hybrid electric vehicle the traction machine may undergo severe thermal stress. Stator faults may occur much faster due to insulation breakdown or overload and are therefore more critical with respect to time. Such failures have therefore to be detected immediately after occurring. This paper presents fault detection techniques for stator and rotor faults of squirrel cage induction machines. Both the presented methods are model based techniques, competent to handle variable speed and load operating conditions.
Keywords: Induction Motor; Electric Drive; Maintenance Induction Motor; Electric Drive; Maintenance
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kral, C.; Kapeller, H.; Pirker, F. A Stator and Rotor Fault Detection Technique for Induction Machines in Traction Applications for Electric or Hybrid Electric Vehicles. World Electr. Veh. J. 2007, 1, 184-189.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
World Electr. Veh. J. EISSN 2032-6653 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top