Journal Article


Predictive vehicle ride discomfort model based on in-situ Stevens power law parameters

Abstract

The current dynamic ride comfort mathematical models don’t use Maxwell arrangement of vehicle suspension occurring due to top mount and the discomfort weightings used are based on the shaker table tests which ignore the influence of vehicle dynamics, for example the effect of seat cushion. A refined integrated vehicle-occupant 10 degree of freedom model that includes top mounts is developed to estimate the occupant response to given harmonic input. The dynamic responses are combined with experimentally obtained in-situ discomfort indices for a car that incorporates the effects of features such as seat cushion. The Stevens power law parameters are estimated and compared with previous studies; the perception model is then used to predict discomfort index as a function of frequency. The influence of the relative stiffness of the top mount and suspension damping on the resonance frequencies is discussed. The acceleration in wheel hop mode can be ~ 3 times larger than that when top mount is not included. The influence of resonance frequencies suggests importance of not just using frequency average discomfort index while optimizing suspension and seat parameters.

Attached files

Authors

Thite, AN

Oxford Brookes departments

Faculty of Technology, Design and Environment\Department of Mechanical Engineering and Mathematical Sciences

Dates

Year of publication: 2018
Date of RADAR deposit: 2017-09-28


Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License


Related resources

This RADAR resource is the Accepted Manuscript of Predictive vehicle ride discomfort model based on in-situ Stevens power law parameters

Details

  • Owner: Joseph Ripp
  • Collection: Outputs
  • Version: 1 (show all)
  • Status: Live
  • Views (since Sept 2022): 417