TY - JOUR
T1 - Research on the Passability Evaluation Model for Intelligent Tracked Vehicle on Soft Soils
AU - Huang, Xuetao
AU - Lv, Weiwei
AU - Jiang, Kai
AU - Huang, Linru
AU - Dong, Mingming
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2026
Y1 - 2026
N2 - According to the challenges of intelligent tracked vehicle transportation over soft soil ground, a novel evaluation system was developed using hook traction force as the primary performance metric. Under representative operational conditions, the maximum absolute deviation between the simulated hook traction forces and the theoretical predictions was 15.77%, confirming the model's suitability for engineering applications. First, building upon a dynamic soil-track interaction model, this study systematically derives analytical expressions for the maximum adhesion force and total driving resistance of tracked vehicles, thereby clarifying the fundamental mechanical principles governing mobility over deformable terrain. Second, leveraging hook traction force as the primary performance metric, a comprehensive traversability evaluation model is formulated - integrating soil mechanical properties, vehicle dynamics, and operational constraints - to enable quantitative assessment of intelligent tracked vehicle transport capability on soft soils. Finally, the model's accuracy and reliability are rigorously validated through both field vehicle tests and numerical simulations. The proposed evaluation system enables rapid, precise, and terrain-adaptive assessment of intelligent tracked vehicle performance across challenging off-road environments, providing essential technical support for autonomous path planning and contributing to the advancement of intelligent off-road tracked vehicle systems.
AB - According to the challenges of intelligent tracked vehicle transportation over soft soil ground, a novel evaluation system was developed using hook traction force as the primary performance metric. Under representative operational conditions, the maximum absolute deviation between the simulated hook traction forces and the theoretical predictions was 15.77%, confirming the model's suitability for engineering applications. First, building upon a dynamic soil-track interaction model, this study systematically derives analytical expressions for the maximum adhesion force and total driving resistance of tracked vehicles, thereby clarifying the fundamental mechanical principles governing mobility over deformable terrain. Second, leveraging hook traction force as the primary performance metric, a comprehensive traversability evaluation model is formulated - integrating soil mechanical properties, vehicle dynamics, and operational constraints - to enable quantitative assessment of intelligent tracked vehicle transport capability on soft soils. Finally, the model's accuracy and reliability are rigorously validated through both field vehicle tests and numerical simulations. The proposed evaluation system enables rapid, precise, and terrain-adaptive assessment of intelligent tracked vehicle performance across challenging off-road environments, providing essential technical support for autonomous path planning and contributing to the advancement of intelligent off-road tracked vehicle systems.
KW - Intelligent tracked vehicle
KW - coupling mechanism of track-ground
KW - hook traction force
KW - passability
UR - https://www.scopus.com/pages/publications/105038861046
U2 - 10.1109/ACCESS.2026.3691455
DO - 10.1109/ACCESS.2026.3691455
M3 - Article
AN - SCOPUS:105038861046
SN - 2169-3536
VL - 14
SP - 70775
EP - 70784
JO - IEEE Access
JF - IEEE Access
ER -