scholarly journals Nonlinear Tire Force Estimation and Road Friction Identification: Simulation and Experiments11This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate Editor M. Tomizuka under the direction of Editor K. Furuta.,22Extended Kalman-Bucy filtering and Bayesian hypothesis selection can be used to estimate longitudinal and lateral tire forces and road coefficient of friction of vehicles on asphalt surfaces.

Automatica ◽  
1997 ◽  
Vol 33 (10) ◽  
pp. 1819-1833 ◽  
Author(s):  
LAURA R. RAY
Keyword(s):  
Coefficient Of Friction ◽  
Associate Editor ◽  
Force Estimation ◽  
Tire Force ◽  
Hypothesis Selection ◽  
Road Friction ◽  
Friction Identification ◽  
Tire Force Estimation ◽  
Tire Forces

Tire Characteristics Estimation Method Independent of Road Surface Conditions

2018 ◽  
Vol 30 (1) ◽  
pp. 138-144 ◽  
Author(s):  
Yuuki Shiozawa ◽  
◽  
Hiroshi Mouri
Keyword(s):  
Estimation Method ◽  
Surface Friction ◽  
Road Surface ◽  
Force Estimation ◽  
Tire Force ◽  
Significant Difference ◽  
Vehicle Motion ◽  
Tire Force Estimation ◽  
Tire Forces ◽  
Force Characteristics

To control vehicle behavior, it is essential to estimate tire force accurately at all times. However, it is currently difficult to detect tire performance degradation before the deterioration of vehicle dynamics in real time because tire force estimation is usually conducted by comparing the observed vehicle motion with the onboard vehicle-model motion baseline reference. Such conventional estimators do not perform well if there is a significant difference between the vehicle and the model behavior. The lack of technology to easily predict tire forces and road surface friction is concerning. In this paper, a new tire state estimation method based on tire force characteristics is proposed.

scholarly journals Estimate Lateral Tire Force Based on Yaw Moment without Using Tire Model

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Jun Yang ◽  
Wuwei Chen ◽  
Yan Wang
Keyword(s):  
Heuristic Method ◽  
Least Square Method ◽  
Least Square ◽  
Force Estimation ◽  
Tire Force ◽  
Highly Nonlinear ◽  
Road Friction ◽  
Estimation Scheme ◽  
Tire Force Estimation ◽  
Yaw Moment

This paper demonstrates the implementation of a model-based vehicle estimator, which can be used for lateral tire force estimation without using any highly nonlinear tire-road friction models. The lateral tire force estimation scheme has been designed, and it consists of the following three steps: the yaw moment estimation based on a disturbance observer, the sum of the lateral tire force of two front tires and two rear tires estimation based on a least-square method, and individual lateral tire force estimation based on a heuristic method. The proposed estimator is evaluated under two typical driving conditions and the estimation values are compared with simulator data from CarSim and experimental data provided by GM. Results to date indicate that this is an effective approach, which is considered to be of potential benefit to the automotive industry.

A Universal Approach to Tire Forces Estimation by Accelerometer-Based Intelligent Tire: Analytical Model and Experimental Validation

2021 ◽  
Author(s):  
Guanqun Liang ◽  
Yan Wang ◽  
Mario A. Garcia ◽  
Tong Zhao ◽  
Zhe Liu ◽  
...  
Keyword(s):  
Analytical Model ◽  
Lateral Force ◽  
Lateral Acceleration ◽  
Beam Model ◽  
Vertical Force ◽  
Force Estimation ◽  
Tire Force ◽  
Universal Approach ◽  
Tire Force Estimation ◽  
Tire Forces

ABSTRACT Efforts to improve the performance and safety of vehicles include placing active sensing components (e.g., embedded microsensors) within tires result in intelligent tires. One application of intelligent tire is tire force estimation based on accelerometers. However, its development is limited due to the difficulty of relating the tire force to kinematical information by model-based theory. In this manuscript, a universal approach to tire forces estimation by the accelerometer-based intelligent tire is formulated and experimentally validated. First, a microelectromechanical system accelerometer-based intelligent tire prototype is established with the function of on-board monitoring of tire forces. Then, a theoretical rolling kinematics model is proposed for illustrating the mechanisms of acceleration fields, resulting from the coupling effect of rigid body motion and elastic deformation. An analytical model is formulated to estimate the vertical force in real time. Furthermore, the beam model is adopted to describe lateral deformations of the tire belt, directly linking lateral acceleration and lateral force. Finally, the lateral force can be estimated by lateral acceleration and vertical force already estimated. Based on a universal analytical model, the lateral force estimation method realizes high accuracy under different circumstances, even with unified coefficients, by clarifying and eliminating the influence of ply steer. A field test and two bench experiments have been conducted to fully validate the developed model. It can be concluded that the theoretical-analysis-based estimation model realizes an encouraging tire force estimation application with an intelligent tire hardware system.

Tire Force Estimation With Strain Gauge Measurement

2014 ◽  
Author(s):  
Valery Pylypchuk ◽  
Shih-Ken Chen ◽  
Nikolai Moshchuk
Keyword(s):  
Experimental Studies ◽  
Force Estimation ◽  
Strain Fields ◽  
Tire Force ◽  
Sensor Measurement ◽  
Tire Force Estimation ◽  
Tire Forces ◽  
Specific Modeling ◽  
Gauge Measurement ◽  
Sensor Positions

This paper provides a brief analytical overview of the existing methodologies for estimation of tire forces and proposes a new simple and effective methodology with sensor measurement such as elastic strains on different suspension parts. Although such an approach requires specific modeling and signal processing, it incorporates the wheel dynamics and avoids dealing with the rotating wheels. Validation using a 7DOF vehicle model and CarSim model showed good results comparing the estimated vertical tire forces and the actual tire forces obtained directly from the models. Initial vehicle tests point to the importance of sensor locations due to the complexity of 3D elastic strain fields near suspension mounts. Detailed finite element and experimental studies are required in order to optimize sensor positions, so any effects causing variations of such positions can be compensated by parameter adjustments based on specifically designed calibrating tests.

Longitudinal Tire Force Estimation Based on Sliding Mode Observer

2001 ◽  
Vol 34 (1) ◽  
pp. 41-46 ◽  
Author(s):  
A. El Hadri ◽  
G. Beurier ◽  
J.C. Cadiou ◽  
N.K. M'Sirdi ◽  
Y. Delanne
Keyword(s):  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Force Estimation ◽  
Tire Force ◽  
Tire Force Estimation

Adaptive Vehicle Stability Control With Optimal Tire Force Allocation

2012 ◽  
Author(s):  
Mustafa Ali Arat ◽  
Kanwar Bharat Singh ◽  
Saied Taheri
Keyword(s):  
Stability Control ◽  
Crash Risk ◽  
Slip Angle ◽  
Vehicle Stability ◽  
Successful Implementation ◽  
Tire Force ◽  
Vehicle Stability Control ◽  
Saturation Region ◽  
Road Friction ◽  
Tire Forces

Vehicle stability control systems have been receiving increasing attention, especially over the past decade, owing to the advances in on-board electronics that enables successful implementation of complex algorithms. Another major reason for their increasing popularity lies in their effectiveness. Considering the studies that expose supporting results for reducing crash risk or fatality, organizations such as E.U. and NHTSA are taking steps to mandate the use of such safety systems on vehicles. The current technology has advanced in many aspects, and undoubtedly has improved vehicle stability as mentioned above; however there are still many areas of potential improvements. Especially being able to utilize information about tire-vehicle states (tire forces, tire-slip angle, and tire-road friction) would be significant due to the key role tires play in providing directional stability and control. This paper presents an adaptive vehicle stability controller that makes use of tire force and slip-angle information from an online tire monitoring system. Solving the optimality problem for the tire force allocation ensures that the control system does not push the tires into the saturation region where neither the driver nor the controller commands are implemented properly. The proposed control algorithm is implemented using MATLAB/CarSim® software packages. The performance of the system is evaluated under an evasive double lane change maneuver on high and low friction surfaces. The results indicate that the system can successfully stabilize the vehicle as well as adapting to the changes in surface conditions.

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