An Integrated Tread Beam/LuGre Tire-Road Friction Model

被引:2
|
作者
Chen, Xunjie [1 ]
Yi, Jingang [1 ]
Qian, Junyu [2 ]
Wang, Hao [2 ]
机构
[1] Rutgers State Univ, Dept Mech & Aerosp Engn, Piscataway, NJ 08854 USA
[2] Rutgers State Univ, Dept Civil & Environm Engn, Piscataway, NJ 08854 USA
来源
IFAC PAPERSONLINE | 2022年 / 55卷 / 37期
关键词
Tire-road friction; LuGre friction model; friction prediction; vehicle dynamics; INTELLIGENT TIRES; ACCELEROMETERS; SENSOR; FORCE;
D O I
10.1016/j.ifacol.2022.11.262
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Tire-road interactions modeling is critical for the development of enhanced safety of modern vehicles. This paper presents an integrated tread beam/LuGre tire-road contact friction model and an iterative force computation method to predict frictional forces at any given wheel slips. Steady-state friction force distribution is computed by solving the LuGre dynamic friction model with a power series method. A tread beam model is then used to capture the variation of the normal load on the tire-road contact patch and compute the load-shift impact under vehicle maneuvers. The use of the tread beam model bridges the local friction force estimates by the LuGre model with the global contact behavior under tire dynamics conditions. Numerical results are compared with those obtained by the finite element method and the comparison confirms the integrated modeling approach. This work provides an enabling practical tool for computing tire-road friction forces under dynamic conditions. Copyright (c) 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
引用
收藏
页码:688 / 693
页数:6
相关论文
共 50 条
  • [41] Estimation of Tire-Road Friction Coefficient Using a Novel Wireless Piezoelectric Tire Sensor
    Erdogan, Gurkan
    Alexander, Lee
    Rajamani, Rajesh
    [J]. IEEE SENSORS JOURNAL, 2011, 11 (02) : 267 - 279
  • [42] Estimating the Tire-road Friction for Tire Pressure Monitoring Using the result of a Nonlinear Observer
    Han, Jiapeng
    Sun, Yongli
    Meng, Chen
    Han, Jiapeng
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 1982 - +
  • [43] A Combination of Intelligent Tire and Vehicle Dynamic Based Algorithm to Estimate the Tire-Road Friction
    Khaleghian, Seyedmeysam
    Ghasemalizadeh, Omid
    Taheri, Saied
    Flintsch, Gerardo
    [J]. SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-MECHANICAL SYSTEMS, 2019, 12 (02): : 81 - 97
  • [44] Control Strategy of AFS Based on Estimation of Tire-road Friction Coefficient
    Zhou, Bing
    Tian, Chen
    Song, Yitong
    Wu, Xiaojian
    [J]. Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2017, 44 (04): : 16 - 22
  • [45] Tire-Road Force Estimation Model Based on a Tire Acceleration Signal
    Liu, Qinggang
    Guo, Hao
    Wei, Xuming
    Lang, Yaopu
    Wang, Qi
    Zhou, Xinglin
    [J]. Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2023, 56 (02): : 177 - 183
  • [46] Development of Collision Avoidance System Integrated With Real-Time Tire-Road Friction Coefficient Estimator
    Lee, Hwangjae
    Choi, Seibum
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024,
  • [47] An observer of tire-road forces and friction for active security vehicle systems
    Baffet, Guillaume
    Charara, Ali
    Dherbomez, Gerald
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2007, 12 (06) : 651 - 661
  • [48] Adaptive Nonlinear Tire-Road Friction Force Estimation for Vehicular Systems Based on a Novel Differentiable Friction Model
    Fu, Zhi-Jun
    Xie, Wei-Dong
    Ning, Xiao-Bin
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [49] Tire-Road Contact Stiffness
    Wang, D.
    Ueckermann, A.
    Schacht, A.
    Oeser, M.
    Steinauer, B.
    Persson, B. N. J.
    [J]. TRIBOLOGY LETTERS, 2014, 56 (02) : 397 - 402
  • [50] A Concept for Estimation and Prediction of the Tire-Road Friction Potential for an Autonomous Racecar
    Hermansdorfer, Leonhard
    Betz, Johannes
    Lienkamp, Markus
    [J]. 2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2019, : 1490 - 1495