Izvorni znanstveni članak

https://doi.org/10.21278/TOF.483057923

Modelling of E-Clutch Axial Dynamics Based on Experimentally Identified Clutch Component Stress-Strain Characteristics

Krunoslav Haramina ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia
Nenad Kranjčević ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia
Matija Hoić orcid.org/0000-0002-9842-6485 ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia
Joško Deur ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia
Andreas Tissot ; Ford-Werke GmbH, Cologne, North Rhine-Westphalia, Germany

Sažetak

E-clutch systems allow for a conventional or electrified powertrain control system to operate the transmission clutch for expanded functionalities, reduced fuel consumption, and improved driving comfort. To facilitate E-clutch control system design and enable its simulation verification, an accurate E-clutch model is required. The paper presents a lumped-parameter model of E-clutch axial dynamics parameterized based on experimentally identified stress-strain characteristics of individual components of a disassembled clutch. An initial, simplified model is first presented and parameterized based on the overall, input-output stress-strain characteristics identified. While the experimental validation results show that the initial model provides a satisfactory prediction of the clutch torque static curve, the prediction of the release bearing force static curve is less satisfactory, thus indicating a potential for further model improvements. Therefore, new, more detailed versions of the model containing individual component stress-strain characteristics are proposed and experimentally validated. The validation results indicate considerable improvements in the normal force static curve prediction accuracy when using the extended model.

Ključne riječi

E-clutch; axial dynamics; experimental identification; modelling; validation

Hrčak ID:

318139

URI

https://hrcak.srce.hr/318139

Datum izdavanja:

19.6.2024.

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