Research on Damping Performance of Dual Mass Flywheel Based on Vehicle Transmission System Modeling and Multi-Condition Simulation

16Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, the reduction of vibration of dual mass flywheel (DMF) torsional damper under multiple working conditions is studied. Firstly, a 6DOF non-linear transmission system model including engine, DMF, gear pair of gearbox and clutch friction model is established. Secondly, a comprehensive multi-condition simulation strategy including ignition condition, idle condition, startup condition, drive condition, uniform speed condition and coast condition is designed to study the vibration reduction performance of DMF under different conditions. Then, the accuracy of the 6DOF non-linear transmission system model is verified. The simulation and test results showed that the accuracy of the model meets the engineering requirements. Finally, the effects of the performance parameters of the DMF on the torsional vibration of the transmission system under various operation conditions are studied. The results show that the performance of DMFs varies significantly under different conditions, and under drive condition the DMF has the best performance of vibration reduction. The free angle has less impact on the damping performance of the DMF, but other parameters have greater influence. The influence trend of the same parameter on the vibration reduction performance of DMF is different under different working conditions. Therefore, the parameter matching of the DMF cannot be based on one driving condition. It is necessary to comprehensively consider the vibration damping performance of the vehicle powertrain under multi-condition to match the parameters.

Cite

CITATION STYLE

APA

Chen, L., Shi, W., & Chen, Z. (2020). Research on Damping Performance of Dual Mass Flywheel Based on Vehicle Transmission System Modeling and Multi-Condition Simulation. IEEE Access, 8, 28064–28077. https://doi.org/10.1109/ACCESS.2019.2951618

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free