Yu, Jiangtao et He, Yuping.
2025.
« Assessing lateral stability of long combination vehicles using stochastic modeling of varying operating conditions and parameter uncertainties ».
In Proceedings of the CSME-CFDSC-CSR 2025 International Congress (Montreal, QC, Canada, May 25-28, 2025)
Coll. « Progress in Canadian Mechanical Engineering », vol. 8.
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Résumé
Long combination vehicles (LCVs) have been increasingly applied for highway freight transportation due to their improved fuel economy and reduced greenhouse emissions. However, LCVs exhibit poor high-speed lateral stability owing to their multi-unit structures, large sizes, and high center of gravity (CG). Given the unique dynamic features of these large vehicles and varied operating conditions, LCVs’ lateral stability is difficult to predict. To date, simulation has been widely used to evaluate the dynamic performance of road vehicles. High fidelity simulations may provide excellent insights into the dynamics features of LCVs under a predefined operating condition. However, under varying operating conditions and in the presence of vehicle parameter uncertainties, it is difficult to use simulation for reasonably evaluating the lateral stability of LCVs. To address this problem, we propose an effective simulation method, which consider different road conditions and trailer payload variations using Monte Carlo based stochastic modeling method. The numerical simulations are executed on a co-simulation platform, consisting of TruckSim for LCV modelling, MatLab/SimuLink for updating vehicle model and operating condition, and Python for data management and analysis. Simulation results demonstrate the effectiveness of the proposed stochastic modeling method.
| Type de document: | Compte rendu de conférence |
|---|---|
| Éditeurs: | Éditeurs ORCID Hof, Lucas A. NON SPÉCIFIÉ Di Labbio, Giuseppe NON SPÉCIFIÉ Tahan, Antoine NON SPÉCIFIÉ Sanjosé, Marlène NON SPÉCIFIÉ Lalonde, Sébastien NON SPÉCIFIÉ Demarquette, Nicole R. NON SPÉCIFIÉ |
| Date de dépôt: | 18 déc. 2025 15:34 |
| Dernière modification: | 18 déc. 2025 15:34 |
| URI: | https://espace2.etsmtl.ca/id/eprint/32527 |
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