Temperature Estimation for Wear Prediction of Dry Clutches |
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| Daniel Strommenger, Clemens Gühmann, René Knoblich, Jörg Beilharz |
- Abstract:
- –For a reliable prognosis of clutch wear, the knowledge of friction lining temperature is crucial. Due to the lack of temperature sensors within the clutch, a reliable model is required to estimate the friction lining temperature. In this contribution, a thermal model for dry clutch temperature estimation is presented. The thermal system is described by a lumped-element model, which is capable of estimating the friction lining temperature based on the friction energy. Furthermore, external temperature influences ofcombustion engine and ambient air, as well as nonlinear effects,are considered. Results of modelidentification and validation for an automated manual transmission (AMT) on a test bench are shown in this article.
- Keywords:
- temperature estimation, thermal modelling, dry clutch, wear prediction, predictive maintenance
- Download:
- IMEKO-TC4-2017-011.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2017
- Title:
22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing
"Supporting world development through electric&electronic measurements"- Place:
- Iasi, ROMANIA
- Time:
- 14 September 2017 - 15 September 2017