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.
Parameter Identification of Heavy Commercial Vehicle Rollover Prediction Model
Key Engineering Materials ; 439-440 ; 854-858
2010-06-07
5 pages
Article (Journal)
Electronic Resource
English
Rollover mitigation for a heavy commercial vehicle
Springer Verlag | 2010
|Rollover mitigation for a heavy commercial vehicle
Online Contents | 2010
|Rollover mitigation for a heavy commercial vehicle
British Library Online Contents | 2010
|Commercial vehicle rollover prediction using energy conservations
Automotive engineering | 1999
|Rollover of Heavy Commercial Vehicles
NTIS | 1999
|