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Vol. 181, Issue 10, October 2014, pp. 189-199

 

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Research on Dynamic Optimization for Road-friendly Vehicle Suspension
 

1, 2 Lu Yongjie, 1 Li Shaohua

1 Shijiazhuang Tiedao University, Shijiazhuang, 050043, China
2 Key Laboratory of Traffic Safety and Control in Hebei, Shijiazhuang 050043, China
E-mail: lu-yongjie@163.com

 

Received: 22 July 2014 /Accepted: 30 September 2014 /Published: 31 October 2014

Digital Sensors and Sensor Sysstems

 

Abstract: The heavy vehicle brings large dynamic loads to the road surface, which would reduce vehicle ride comfort and shorten road service life. The structure characteristic of heavy vehicle suspension has a significant impact on vehicle performance. Based on the D'Alembert principle, the dynamics models of independent and integral balanced suspension are proposed considering mass and inertia of balancing rod. The sprung mass acceleration and the tire dynamic force for two kinds of balanced suspension and the traditional quarter vehicle model are compared in frequency-domain and time-domain respectively. It is concluded that a quarter vehicle model simplified for balanced suspension could be used to evaluate the ride comfort of vehicle well, but it has some limitations in assessing the vehicle road-friendliness. Then, the sprung mass acceleration and the road damage coefficients are also analyzed under different vehicle design and running parameters at detail. Some conclusions are obtained: low suspension stiffness, high suspension damping and low tire stiffness are all favorable to improve vehicle performance; there is a saturation range of suspension damping enhancing vehicle performance; improving the road surface roughness and avoiding the no-load running are two effective methods to accomplish the better ride comfort and road-friendliness. The suspension stiffness and damping parameters are chosen for optimal parameters matching of road friendliness based on the approximation optimization method.

 

Keywords: Heavy vehicle dynamics, Balanced suspension, Ride comfort, Road-friendliness, Optimization.

 

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