Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuver Articles uri icon

publication date

  • April 2022

start page

  • 1

end page

  • 21

issue

  • 108586

volume

  • 168

International Standard Serial Number (ISSN)

  • 0888-3270

Electronic International Standard Serial Number (EISSN)

  • 1096-1216

abstract

  • 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 CarSim┬┐simulation
    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.

subjects

  • Mechanical Engineering

keywords

  • tire–road friction coefficient; strain gauges; intelligent tire; adherence limit; loss of grip; grip margin