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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2009  >  9(2): 79-82
PANG Han, ZHANG Wei-gong, WANG Xia, GUO Zhan-jun. Terrain trafficability estimating system of off-road vehicle based on virtual proving ground technology[J]. Journal of Traffic and Transportation Engineering, 2009, 9(2): 79-82. doi: 10.19818/j.cnki.1671-1637.2009.02.014
Citation: PANG Han, ZHANG Wei-gong, WANG Xia, GUO Zhan-jun. Terrain trafficability estimating system of off-road vehicle based on virtual proving ground technology[J]. Journal of Traffic and Transportation Engineering, 2009, 9(2): 79-82. doi: 10.19818/j.cnki.1671-1637.2009.02.014
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Terrain trafficability estimating system of off-road vehicle based on virtual proving ground technology

doi: 10.19818/j.cnki.1671-1637.2009.02.014
  • 1.

    School of Electromechanical Engineering, China University of Petroleum, Dongying 257061, Shandong, China

  • 2.

    School of Instrument Science and Engineering, Southeast University, Nanjing 210096, Jiangsu, China

  • 3.

    Department of Information Science and Technology, Taishan University, Taian 271000, Shandong, China

  • 4.

    Virtual Proving Ground, PLA General Armament Department, Dingyuan 239000, Anhui, China

More Information
  • Author Bio:

    PANG Han (1977-), male, lecturer, doctoral student, +86-546-7622809, panghan67@163.com

    ZHANG We-i gong (1959-), male, professor, PhD, +86-25-83792613, zhangwg@seu.edu.cn

  • Received Date: 2008-12-07
  • Publish Date: 2009-04-25
    Abstract
  • In order to estimate the terrain trafficability of off-road vehicle, an estimating system was constructed based on VPG (virtual proving ground) technology. The linear relations of the pressure, stiffness and the effective contact area of tire were analyzed, and the viscoelasticity model of tire was improved with experiment coefficients. The stiffness and damp model of suspension was studied, and a 6 DOF model of off-road vehicle was established based on multi-body dynamics. Six-dimension wheel force transducer and machine vision measure method were employed in experiment demarcating and verifying system to measure force and displacement. The interferential error between experiment result and simulation result for terrain trafficability is less than 5%, so the system is feasible.

     

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