Parameter Identification of Heavy Commercial Vehicle Rollover Prediction Model

Abstract:

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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 and 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:

$35.00

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