Paper Title:
Parameter Identification of Heavy Commercial Vehicle Rollover Prediction Model
  Abstract

This paper presents the parameter identification technology of heavy commercial vehicle rollover prediction. In this study, a nonlinear truck model has been established for the rollover threat prediction. In order to achieve valid and representative truck model as close to the target real truck as possible, a set of key parameters are identified from experiment data collected from real truck ground test. At the last, the vehicle prediction model simulation results compared with the experimental results, it is shown that the prediction model can be accurately predicted the rollover dangerous state.

  Info
Periodical
Key Engineering Materials (Volumes 439-440)
Edited by
Yanwen Wu
Pages
854-858
DOI
10.4028/www.scientific.net/KEM.439-440.854
Citation
T. J. Zhu, C. F. Zong, "Parameter Identification of Heavy Commercial Vehicle Rollover Prediction Model", Key Engineering Materials, Vols. 439-440, pp. 854-858, 2010
Online since
June 2010
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Price
$32.00
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