Parameter Identification of Heavy Commercial Vehicle Rollover Prediction Model
2010 ◽
Vol 439-440
◽
pp. 854-858
Keyword(s):
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.
2014 ◽
Vol 590
◽
pp. 437-441
Keyword(s):
2020 ◽
pp. 095440702097709
2015 ◽
Vol 1092-1093
◽
pp. 534-538
Keyword(s):
Keyword(s):
2016 ◽
Vol 30
(02)
◽
pp. 1550268
◽
2014 ◽
Vol 611
◽
pp. 325-331
2014 ◽
Vol 687-691
◽
pp. 2640-2643
Keyword(s):