Characterization of Onboard Condition Monitoring Techniques for Stator Insulation Systems in Electric Vehicles : A Review
(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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- author
- Upadhyay, Akanksha LU ; Alakula, Mats LU and Marquez-Fernandez, F. J. LU
- organization
- publishing date
- 2019-12-09
- 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
- 9781728148786
- 978-1-7281-4879-3
- 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
- 2024-07-10 16:37:17
@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 = {{9781728148786}}, issn = {{2577-1647}}, keywords = {{automotive; condition monitoring; diagnostics; EV; stator fault; stator insulation system; traction machine}}, 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}}, }