Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers

被引:13
作者
Fernanda Mendoza-Petit, Ma [1 ]
Garcia-Pozuelo, Daniel [1 ]
Diaz, Vicente [1 ]
Garrosa, Maria [1 ]
机构
[1] Univ Carlos III Madrid, Mech Engn Dept, Av Univ, Madrid 28911, Spain
关键词
Tire-road friction coefficient; Strain gauges; Intelligent tire; Adherence limit; Loss of grip; Grip margin; ROAD FRICTION COEFFICIENT; ENERGY HARVESTING SYSTEM; NONLINEAR ESTIMATION; MODEL; TYRE; SLIP; SENSORS; FORCES; ANGLE;
D O I
10.1016/j.ymssp.2021.108586
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The early detection of the instantaneous tire-road condition enables the control systems to react against the risk of the vehicle's loss of control. This situation usually occurs when the phenomena of stick-slip is not present in the tire-road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire-road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire-road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSimTMsimulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle's severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip.
引用
收藏
页数:21
相关论文
共 83 条
  • [31] JOHANASTROM K, 2008, IEEE CONTR SYST MAG, V28, P101, DOI DOI 10.1109/MCS.2008.929425
  • [32] Jousimaa OJ, 2016, IEEE INT VEH SYM, P578, DOI 10.1109/IVS.2016.7535445
  • [33] Kazmierski TJ, 2011, ENERGY HARVESTING SYSTEMS: PRINCIPLES, MODELING AND APPLICATIONS, P79, DOI 10.1007/978-1-4419-7566-9_2
  • [34] A technical survey on tire-road friction estimation
    Khaleghian, Seyedmeysam
    Emami, Anahita
    Taheri, Saied
    [J]. FRICTION, 2017, 5 (02) : 123 - 146
  • [35] Observation of lateral vehicle dynamics
    Kiencke, U
    Daiss, A
    [J]. CONTROL ENGINEERING PRACTICE, 1997, 5 (08) : 1145 - 1150
  • [36] Development of a tire model based on an analysis of tire strain obtained by an intelligent tire system
    Kim, S. J.
    Kim, K. -S.
    Yoon, Y. -S.
    [J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2015, 16 (05) : 865 - 875
  • [37] Kobayakawa A., 2006, FISITA AUT C
  • [38] Kritayakirana K., 2010, IFAC P, V43, P548, DOI DOI 10.3182/20100712-3-DE-2013.00060
  • [39] A novel approach to tire parameter identification
    Lee, Hojong
    Taheri, Saied
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2019, 233 (01) : 55 - 72
  • [40] Intelligent Tires-A Review of Tire Characterization Literature
    Lee, Hojong
    Taheri, Saied
    [J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2017, 9 (02) : 114 - 135