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Characterization of Onboard Condition Monitoring Techniques for Stator Insulation Systems in Electric Vehicles : A Review

Upadhyay, Akanksha LU ; Alakula, Mats LU and Marquez-Fernandez, F. J. LU (2019) 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 In IECON Proceedings (Industrial Electronics Conference) 2019. p.3179-3186
Abstract

The design of the stator insulation system for a traction machine used in electric vehicles is a challenge due to the tight requirements set on compact size, high dynamic stresses and a lack of automotive specific insulation standards. A poorly designed stator insulation can lead to safety issues and stator faults. Approximately, 20-30% of faults in traction machines are stator faults. In order to safeguard a healthy operation of the traction machine, condition monitoring of the traction machine while the electric vehicle is running or at standstill can be applied. This paper summarizes the state of the art of stator insulation systems, presents various root causes leading to stator faults and classifies onboard condition monitoring... (More)

The design of the stator insulation system for a traction machine used in electric vehicles is a challenge due to the tight requirements set on compact size, high dynamic stresses and a lack of automotive specific insulation standards. A poorly designed stator insulation can lead to safety issues and stator faults. Approximately, 20-30% of faults in traction machines are stator faults. In order to safeguard a healthy operation of the traction machine, condition monitoring of the traction machine while the electric vehicle is running or at standstill can be applied. This paper summarizes the state of the art of stator insulation systems, presents various root causes leading to stator faults and classifies onboard condition monitoring techniques under a proposed characterization structure, distinguishing between self analysis and traction mode. This characterization aims at providing a broad perspective on stator fault monitoring techniques to automotive engineers and researchers, focusing on permanent magnet synchronous machines.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
automotive, condition monitoring, diagnostics, EV, stator fault, stator insulation system, traction machine
host publication
IECON 2019 : 45th Annual Conference of the IEEE Industrial Electronics Society - 45th Annual Conference of the IEEE Industrial Electronics Society
series title
IECON Proceedings (Industrial Electronics Conference)
volume
2019
article number
8926678
pages
8 pages
publisher
IEEE Computer Society
conference name
45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
conference location
Lisbon, Portugal
conference dates
2019-10-14 - 2019-10-17
external identifiers
  • scopus:85084111480
ISSN
2577-1647
1553-572X
ISBN
978-1-7281-4879-3
9781728148786
DOI
10.1109/IECON.2019.8926678
language
English
LU publication?
yes
id
12b31118-db0f-4e01-a6a8-3568bb06dcbd
date added to LUP
2020-06-05 10:34:58
date last changed
2020-06-06 02:15:46
@inproceedings{12b31118-db0f-4e01-a6a8-3568bb06dcbd,
  abstract     = {<p>The design of the stator insulation system for a traction machine used in electric vehicles is a challenge due to the tight requirements set on compact size, high dynamic stresses and a lack of automotive specific insulation standards. A poorly designed stator insulation can lead to safety issues and stator faults. Approximately, 20-30% of faults in traction machines are stator faults. In order to safeguard a healthy operation of the traction machine, condition monitoring of the traction machine while the electric vehicle is running or at standstill can be applied. This paper summarizes the state of the art of stator insulation systems, presents various root causes leading to stator faults and classifies onboard condition monitoring techniques under a proposed characterization structure, distinguishing between self analysis and traction mode. This characterization aims at providing a broad perspective on stator fault monitoring techniques to automotive engineers and researchers, focusing on permanent magnet synchronous machines.</p>},
  author       = {Upadhyay, Akanksha and Alakula, Mats and Marquez-Fernandez, F. J.},
  booktitle    = {IECON 2019 : 45th Annual Conference of the IEEE Industrial Electronics Society},
  isbn         = {978-1-7281-4879-3},
  issn         = {2577-1647},
  language     = {eng},
  month        = {12},
  pages        = {3179--3186},
  publisher    = {IEEE Computer Society},
  series       = {IECON Proceedings (Industrial Electronics Conference)},
  title        = {Characterization of Onboard Condition Monitoring Techniques for Stator Insulation Systems in Electric Vehicles : A Review},
  url          = {http://dx.doi.org/10.1109/IECON.2019.8926678},
  doi          = {10.1109/IECON.2019.8926678},
  volume       = {2019},
  year         = {2019},
}