Study on the Integrated Modeling of the Entire Rider-Vehicle-Road System

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Abstract:

The demands of high-quality dynamic performance and short development time for vehicle production can only be fulfilled by the application of advanced design, simulation and optimization technologies. Virtual prototyping (VP), the analysis and simulation technology based on a fully developed computer model, represents a future way for cost and time efficient design of vehicles and can perform the same as those on the physical prototyping. This paper describes an integrated modeling method, based on the topological structure of a heavy vehicle and oriented to ride dynamics, of a human-vehicle-road system. A multi-body simulation model was chosen as the integration platform for the virtual prototyping since it provided the flexibility to integrate all relevant aspects such as rigid body movement, road-induced vibration and the driver’s responses to the vibration. The time domain model of the stochastic excitation from the road irregularities was numerically reconstructed as input data to VP and the feeling evaluation model in time domain, equivalent to conditional frequency evaluation, was used to the vehicle’s riding comfort simulation. Through integrating the sub-models in VP and combining the data of the sub-models it became possible to predict dynamic performance of vehicles by virtual prototyping technology.

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Key Engineering Materials (Volumes 439-440)

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1328-1336

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June 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] G. Schupp, A. Jaschinksi: Virtual prototyping: the future way of designing railway vehicles. Int. J. of Vehicle Design Vol. 22(1-2) (1999), p.93.

DOI: 10.1504/ijvd.1999.001861

Google Scholar

[2] K. Feldmann, F. christoph: Virtual prototyping of placement machines in electronics production. Int. J. Computer Integrated Manfacturing Vol. 16 (7-8) (2003), p.479.

DOI: 10.1080/0951192031000115796

Google Scholar

[3] S. Taichi, S. Yoshihiro: Development of driving simulator with full vehicle model of multibody dynamics. JSAE Review Vol. 23 (2002), p.223.

DOI: 10.1016/s0389-4304(02)00165-0

Google Scholar

[4] Q. D. Wang, et al: Research on the analysis and synthesis of automobile leaf spring based on virtual prototype technique. Chinese Journal of Mechanical Engineering Vol. 37(12) (2001), p.63.

DOI: 10.3901/jme.2001.12.063

Google Scholar

[5] A. Yoshimura: A semi-active suspension of passenger cars using fussy reasoning and the field testing. Int. J. of Vehicle Designs Vol. 19 (2) (1998), p.150.

Google Scholar

[6] Y. L. Zhang, J. F. Zhang: Numerical simulation of stochastic road process using white noise filtration. Mechanical System and Signal Processing Vol. 20(2) (2006), p.363.

DOI: 10.1016/j.ymssp.2005.01.009

Google Scholar

[7] Y. L. zhang, H. H. Teng, C. L. Hou: The research & design of time domain simulation system for vehicle road stochastic irregularities. Transactions of the CSAE Vol. 21(2)(2005), p.86.

Google Scholar

[8] G. Cheng: Numerical simulation of the stochastic process of railway track irregularities. Journal of Southwest Jiao-tong University Vol. 34(2) (1999), p.138.

Google Scholar

[9] Z. S. Chen, C. G. Wang: Covariance analysis method for vehicle random vibration. China Railway Science Vol. 22 (4) (2001), p.1.

Google Scholar

[10] S. Taichi, S. Yoshihiro: Development of driving simulator with full vehicle model of multibody dynamics. JSAE Review Vol. 23 (2002), p.223.

DOI: 10.1016/s0389-4304(02)00165-0

Google Scholar