This paper presents a multi-objective optimum concept to design vehicle suspension with the recognition of ride quality and road friendliness as the objective functions. A whole-vehicle model with eight degrees of freedom is used as an illustrative example to demonstrate the concept and the process of optimization. Road surface roughness is modeled as a zero mean, reposeful and ergodic Gaussian random field, which is described by the power spectral density (PSD). Through Fourier transform and random vibration theory, the dynamic responses of vehicle model are numerically calculated. The total weighted root mean square acceleration of operator's seat and the dynamic load coefficients axe used to evaluate the ride quality and the road friendliness respectively. The optimum design of vehicle suspension treated here is a constrained multi-objective problem, which is solved using unified objective function method. The results show that: {I) decreasing suspension stiffness and increasing suspension damping can not only reduce the road damage bat also improve the ride quality, (2) optimizing suspension stiffness and damping results in a 16.2 % reduction in root mean square acceleration of operators seat, 21.2 % reduction in front wheel dynamic tyre load and 41.4% reduction in rear wheel dynamic tyre load.
Optimization of vehicle suspension based on ride quality and road friendliness
2009
7 Seiten, 2 Bilder, 3 Tabellen, 12 Quellen
Aufsatz (Konferenz)
Englisch
British Library Conference Proceedings | 1996
|SAE Technical Papers | 1996
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