Temperature Estimation for Wear Prediction of Dry Clutches

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

-

IMEKO TC

TC4 - Measurement of Electrical Quantities

Back to the proceedings