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|Title:||Nonlinear frequency domain analysis and design of vehicle suspension systems||Authors:||Chen, Yue||Degree:||M.Phil.||Issue Date:||2012||Abstract:||In the analysis and design of vehicle suspension systems, springs and dampers, which are usually inherently nonlinear, are the most crucial elements to improve the ride comfort, assure the stability and increase the longevity of spring to a large extent. Therefore, it is of great significance to determine proper stiffness and damping characteristics to meet various requirements in practice. In this study, a nonlinear frequency domain analysis method is introduced for nonlinear analysis and design of vehicle suspension systems. The explicit relationship between system output spectrum and model parameters is derived by using the nonlinear frequency domain analysis method and the characteristic parameters of interest can therefore be analyzed directly. The optimal nonlinear stiffness and damping characteristics of the nonlinear vehicle suspension system can then be achieved. Comparative studies indicate that the optimal nonlinear damping characteristics demonstrate obviously better dynamic performance than the corresponding linear counterparts and the existing nonlinear optimal damping characteristics. Simulation studies based on the full vehicle dynamic model verify the nonlinear advantages in terms of three different vehicle evaluation standards. The study shows that the nonlinear optimal damping characteristic obtained by using the nonlinear frequency domain analysis method is very helpful in the improvement of vehicle vibration performance and decrease of suspension stroke. Meanwhile, the optimal nonlinear damper will not cause any negative effect on the handling capability.||Subjects:||Automobiles -- Springs and suspension -- Design and construction.
Hong Kong Polytechnic University -- Dissertations
|Pages:||xix, 98 leaves : ill. ; 30 cm.|
|Appears in Collections:||Thesis|
View full-text via https://theses.lib.polyu.edu.hk/handle/200/6963
Citations as of May 22, 2022
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