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Nanjing, China

Wang C.,Jilin University | Shi W.,Jilin University | Chen Z.,Jilin University | Zhang Y.,Nanjing Automobile Group Corporation | Guo F.,Nanjing IVECO Motor Co.
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | Year: 2015

For the problem of vibration in the floor of a a light bus, the modal of its frame and interior-body floor are measured, and the on-road vibration of the floor is tested. By performing order tracking and spectral analysis, it is found that the first order vibration of the transmission shaft is the main excitation source. Meanwhile, the 8th local mode of the floor is close to the first order frequency of the driveline in the modal analysis process, which would cause local resonance, and is the main factor of the violent vibration of the floor. Then we set out to make improvements in the vibration transmission path and modal distribution optimization. The nonlinear stiffness of the driveline rubber bearing is optimized by using virtual prototype technology to maximally reduce the transfer of vibration. For the resonance of the local floor, the finite element method is used to optimize the modal distribution of the floor, and the local modal avoids the working frequency range of the engine and the driveline. Finally, the effectiveness of the improvement measures is verified and the bus floor vibration is effectively controlled. © 2015, Nanjing University of Aeronautics an Astronautics. All right reserved.

Liu W.,Jilin University | Shi W.-K.,Jilin University | Fang D.-G.,Nanjing IVECO Motor Co. | Guo F.-X.,Nanjing IVECO Motor Co. | Gui L.-M.,Nanjing IVECO Motor Co.
Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology | Year: 2012

To improve vehicle ride comfort and handling stability, a multi-objective optimization strategy based on improved genetic algorithm was designed for the suspension system. As the study of a light passenger bus, taken the vehicle body side angle, yaw rate and the amplitude of vibration acceleration as optimization index, a multi-objective optimization model of suspension system parameters was established. The method improved the selection mechanism in the individual populations, and the improvements would enable the parent population and offspring population of optimal individuals to have the same opportunity to be selected to ensure diversity of new species. The real vehicle experimental results showed that: compared with the suspension before optimization, the vehicle body side angle, yaw rate and the amplitude of vibration acceleration had been reduced by 12.3%, 6.4% and 9.8%. The new strategy could reasonably match the parameters of suspension system, and simultaneously improve the vehicle ride comfort and handling stability.

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