Estimation of automotive tire force characteristics using wheel velocity

Ōno, Eiichi; Asano, K.; Sugai, Masaru; Itô, Shôji; Yamamoto, Masaki; Sawada, Mamoru; Yasui, Yoshiyuki

doi:10.1016/s0967-0661(03)00073-x

Cited by 79 publications

(38 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, simplified models have been coupled with vehicle dynamics to produce different observation and filtering techniques: Matusko, Petrovic, and Peric (2008) employed a neural-network-based identification ;Fischer, Börner, Schmitt, and Isermann (2009) used fuzzy logic techniques; Liu and Peng (1996), Ono et al (2003), Tanelli, Piroddi, andSavaresi (2009), andLee (1999) developed different least-squared methods; Dakhlallah, Glaser, Mammar, and Sebsadji (2008), Grip et al (2008), Yi (2004), M'Sirdi, Rahbi, Zbiri, andDelanne (2005), Ray (1997) or Shim and Margolis (2004) use several kinds of nonlinear asymptotic observers. Most of them try to obtain reliable tire effort estimates and, thereafter, the maximum tire friction value by fitting different types of polynomial functions.…”

Section: State Of the Artmentioning

confidence: 99%

“…Two possible solutions can be applied to that problem: using a GPS as proposed by Hahn, Rajamani, and Alexander (2002), which is not always available on a production car, or exploit what Ono et al (2003) and Umeno (2002) call the extended braking stiffness (XBS). It can be defined as the slope of friction coefficient against slip velocity at the operational point.…”

Section: State Of the Artmentioning

confidence: 99%

“…XBS was defined by Ono et al (2003) as the derivative of the friction coefficient with respect to slip ratio. Therefore, the switching function will be given by the following XBS estimator:…”

Section: Detection Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

A diagnosis-based approach for tire–road forces and maximum friction estimation

Villagrá

d’Andréa-Novel

Fliess

et al. 2011

Control Engineering Practice

111

View full text Add to dashboard Cite

a b s t r a c tA new approach to estimate vehicle tire forces and road maximum adherence is presented. Contrarily to most of the previous works on this subject, it is not an asymptotic observer-based estimation, but a combination of elementary diagnosis tools and new algebraic techniques for filtering and estimating derivatives of noisy signals. In a first step, instantaneous friction and lateral forces will be computed within this framework. Then, extended braking stiffness concept is exploited to detect which braking efforts allow to distinguish a road type from another. A weighted Dugoff model is used during these 'distinguishable' intervals to estimate the maximum friction coefficient. Very promising results have been obtained in noisy simulations and real experimentations for most of the driving situations.

show abstract

Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

A diagnosis-based approach for tire–road forces and maximum friction estimation

Villagrá

d’Andréa-Novel

Fliess

et al. 2011

Control Engineering Practice

111

View full text Add to dashboard Cite

show abstract

“…Gustafsson (1997) has developed a tire-road friction estimation method based on Kalman filtering that estimates the ratio between the slip of the driven wheel and the friction force to classify the road conditions. The least-squares method has been applied to estimate the extended braking stiffness (XBS), which is the slope of the friction force with respect to the slip velocity at the operational point, using the measurement of wheel angular velocity (Ono et al, 2003). Umeno et al (2002) have proposed an estimation method for tire-road friction that estimates the frequency characteristics of the wheel speed vibration.…”

Section: Introductionmentioning

confidence: 99%

Sliding-mode-based parameter identification with application to tire pressure and tire-road friction

Lee

Park

2011

Int.J Automot. Technol.

View full text Add to dashboard Cite

This paper presents a method of simultaneous estimation of tire pressure and tire-road friction. A sliding-mode scheme is designed to identify the system state and the parameter variation of a torsional tire system, which greatly depend on the change in tire pressure. Then, the recursive least-squares method with a forgetting facto is used to estimate the parameter variations of the tire system and the tire-road friction force without a friction model using the information retrieved from the equivalent input for sliding motion. A simulation study is performed to illustrate the effectiveness of the proposed method.

show abstract

“…[7][8][9]). An example of this field of research is given in [10], where the authors estimate the tire extended braking stiffness -i.e. the derivative of the longitudinal friction force with respect to the wheel slip -which indicates the residual longitudinal friction force available to the driver.…”

Section: Introductionmentioning

confidence: 99%

Real-time identification of tire–road friction conditions

Tanelli

Piroddi

Savaresi

2009

IET Control Theory &Amp; Applications

105

View full text Add to dashboard Cite

Tire -road friction characteristics are deeply interlaced with all vehicle dynamics control systems, as road conditions strongly affect the control schemes behaviour. This work aims at the real-time estimation of the wheel slip value corresponding to the peak of the tire -road friction curve, in order to provide anti-lock braking systems (ABS) with reliable information on its value upon activation. Different techniques based on recursive least squares and the maximum likelihood approach are used for friction curve fitting and their merits and drawbacks thoroughly examined. In addition, since one of the main issues in slip-based friction estimation during braking is vehicle speed estimation, an effective algorithm for addressing this task is developed. The proposed peak slip value estimation strategy is analysed and tested both in simulation and on data collected on an instrumented test vehicle. In the latter case, the vehicle speed estimation algorithm is used, and the estimated vehicle speed provided as input for friction estimation. Practical applicability constraints posed by typical ABS systems are also considered.

show abstract

Estimation of automotive tire force characteristics using wheel velocity

Cited by 79 publications

References 8 publications

A diagnosis-based approach for tire–road forces and maximum friction estimation

A diagnosis-based approach for tire–road forces and maximum friction estimation

Sliding-mode-based parameter identification with application to tire pressure and tire-road friction

Real-time identification of tire–road friction conditions

Contact Info

Product

Resources

About