Chatchai Chumjun.. Prediction of vertical vehicle dynamics using single track suspension model with identified parameters. Master's Degree(Automotive Engineering (International Program)). King Mongkut's University of Technology North Bangkok. Central Library. : King Mongkut's University of Technology North Bangkok, 2007.
Prediction of vertical vehicle dynamics using single track suspension model with identified parameters
Abstract:
This thesis develops a mathematical model of vehicle suspension system for
predicting the vertical dynamics. The unknown parameters of complete assembly
vehicle are estimated by parameters identification technique from vehicle testing.
Those parameters are sprung mass, unsprung mass, damping coefficients of front and
rear vehicle, center of gravity location and moment of inertia. In this thesis, the
vehicle response signal when passing over bump profile is used to identify those
parameters. The simulation results are validated with experiment data and show good
results. However, in order to achieve robust prediction of vertical dynamics, the
suspension model is verified by vary suspension damping. The simulation results are
verified with experiment data and results have good tendency. Thereafter this model
has applied to optimize of rear suspension system with regard to compromise ride
comfort and driving safety of vehicle. The optimum point is selected and gives better
comfort and driving safety when comparing to shock absorber from original test
vehicle.