TY - JOUR
T1 - Research on Traction Characteristics of Wheeled Vehicles Based on High-Velocity Off-Road Conditions
AU - Lv, Weiwei
AU - Chen, Ke
AU - Liu, Yuhan
AU - Bi, Ligetu
AU - Dong, Mingming
N1 - Publisher Copyright:
© 2026 by the authors.
PY - 2026/4
Y1 - 2026/4
N2 - Classical soil mechanics models are inadequate for predicting the traction of wheeled vehicles under high-velocity off-road conditions due to the complex dynamic soil response. To address this, this study proposes a velocity-segmented dynamic compression-shear model for aeolian sandy soil, enhancing classical theories with velocity-dependent corrections for the 0–10 m/s range. A theoretical patterned wheel–soil interaction model is developed, incorporating lug effects via an equivalent radius. Furthermore, a comprehensive vehicle traction model is established by integrating the soil model with a dynamic equilibrium iteration method that couples suspension dynamics, pitch attitude, and axle load distribution. Validation results demonstrate that the single-wheel traction theoretical model achieves an error of less than 18%, while the full vehicle traction model reaches a 73% prediction accuracy for drawbar pull and sinkage, as verified through soil bin tests and full-vehicle experiments. This research provides theoretical framework for the real-time and accurate prediction of wheeled-vehicle traction performance on unprepared terrain, offering significant improvements for high-velocity off-road mobility analysis.
AB - Classical soil mechanics models are inadequate for predicting the traction of wheeled vehicles under high-velocity off-road conditions due to the complex dynamic soil response. To address this, this study proposes a velocity-segmented dynamic compression-shear model for aeolian sandy soil, enhancing classical theories with velocity-dependent corrections for the 0–10 m/s range. A theoretical patterned wheel–soil interaction model is developed, incorporating lug effects via an equivalent radius. Furthermore, a comprehensive vehicle traction model is established by integrating the soil model with a dynamic equilibrium iteration method that couples suspension dynamics, pitch attitude, and axle load distribution. Validation results demonstrate that the single-wheel traction theoretical model achieves an error of less than 18%, while the full vehicle traction model reaches a 73% prediction accuracy for drawbar pull and sinkage, as verified through soil bin tests and full-vehicle experiments. This research provides theoretical framework for the real-time and accurate prediction of wheeled-vehicle traction performance on unprepared terrain, offering significant improvements for high-velocity off-road mobility analysis.
KW - aeolian sandy soil
KW - dynamic equilibrium iteration
KW - high-velocity off-road
KW - traction characteristics
KW - unprepared terrain
KW - wheeled vehicles
UR - https://www.scopus.com/pages/publications/105036708252
U2 - 10.3390/vehicles8040084
DO - 10.3390/vehicles8040084
M3 - Article
AN - SCOPUS:105036708252
SN - 2624-8921
VL - 8
JO - Vehicles
JF - Vehicles
IS - 4
M1 - 84
ER -