This paper shows the optimum frequency ratios of the front and rear ends of the car to minimize pitch motion, which can be calculated with the mean square value of pitch. The human sensitivity to pitch and bounce was investigated through sensory evaluation by using a 6-degree-of-freedom simulator. The vehicle design parameters of a two-degree-of-freedom model describe the pitch and bounce motion, and determine the mean square values of pitch and bounce. The mean square values of pitch velocity and bounce velocity with 1/f random input estimate the vehicle frequency and damping settings. There are the optimum front and rear ratios of the frequency and the damping ratio to minimize the mean square value of pitch, but there is no optimum setting to minimize the mean square value of bounce. Higher front and rear ratios of the frequency and the damping ratio are required to achieve minimizing of the mean square value of pitch. The task of passing over a bump takes into account the process of convergence with consideration for human sensitivity. Achieving a high performance of ride comfort consist of. for the most part, finding an optimum front and rear ratio of frequency to minimize the mean square value of pitch. A vehicle with a higher base frequency, and higher base damping ratio or larger dynamic index, requires a higher front and rear ratio of frequency to reduce the mean square value of pitch. The mean square values enable a discussion of the influence of vehicle parameters.
An analysis of pitch and bounce motion, requiring high performance of ride comfort
2004
10 Seiten, 4 Quellen
Conference paper
English
An analysis of pitch and bounce motion, requiring high performance of ride comfort
Automotive engineering | 2004
|An analysis of pitch and bounce motion, requiring high performance of ride comfort
British Library Conference Proceedings | 2004
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