| Issue |
MATEC Web Conf.
Volume 298, 2019
International Conference on Modern Trends in Manufacturing Technologies and Equipment: Mechanical Engineering and Materials Science (ICMTMTE 2019)
|
|
|---|---|---|
| Article Number | 00006 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/matecconf/201929800006 | |
| Published online | 18 November 2019 | |
Modeling of failures of the starter electric motor
Orenburg State University, Pobedy avenue, 13, Orenburg, Russian Federation
* Corresponding author: and-rew78@yandex.ru
Failures of automotive starters make it impossible to reliably start internal combustion engines, which, under adverse circumstances, may cause a risk of road traffic accidents. A significant part of starter failures is associated with electrical faults in electric motors. The occurrence and development of failures causes a change in the torque produced by the starter. A mathematical model of the starter’s performance dependant from the magnitude of the electrical resistance of its windings was developed. Physical modeling of failures was carried out using an adjustable active resistance connected in series and parallel to the armature winding. Critical values of electrical resistance correspond to an open and short circuit of the armature winding of the starter electric motor, and, consequently, to starter failure. The results obtained are instrumental to the development of a diagnostics method for automotive starters without removing them from the motor.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.