Enhancement of Collision Mitigation Braking System Performance Through Real-Time Estimation of Tire-road Friction Coefficient by Means of Smart Tires

2012 ◽  
Vol 5 (2) ◽  
pp. 607-624 ◽  
Author(s):  
Kanwar Bharat Singh ◽  
Mustafa Ali Arat ◽  
Saied Taheri
Keyword(s):  
Friction Coefficient ◽  
Real Time ◽  
System Performance ◽  
Time Estimation ◽  
Braking System ◽  
Road Friction ◽  
Collision Mitigation ◽  
Real Time Estimation ◽  
Road Friction Coefficient

Development of a Smart Tire System and its Use in Improving the Performance of a Collision Mitigation Braking System

2012 ◽  
Author(s):  
Kanwar Bharat Singh ◽  
Mustafa Ali Arat ◽  
Saied Taheri
Keyword(s):  
Parameter Estimation ◽  
Friction Coefficient ◽  
Control Systems ◽  
Real Time ◽  
Vehicle Control ◽  
Slip Conditions ◽  
Model Based ◽  
Road Friction ◽  
Collision Mitigation ◽  
Road Friction Coefficient

At present, the commercially available tire monitoring systems are not equipped to sense and transmit high speed dynamic variables used for real-time active safety control systems. Hence, today’s vehicle control systems are limited by the lack of knowledge of critical tire-road states (i.e. the kinematic conditions of the tire to its dynamic properties). From aforementioned discussion, it is clear that some method of estimating tire-road contact parameters would be greatly desirable. Existing tire-road friction estimation approaches often require certain levels of vehicle longitudinal and/or lateral motion to satisfy the persistence of excitation condition for reliable estimations. Such excitations may undesirably interfere with vehicle motion controls. This paper presents a novel development and implementation of a real-time tire-road contact parameter estimation methodology using acceleration signals from a smart tire. The proposed method characterizes the terrain using the measured frequency response of the tire vibrations and provides the capability to estimate the tire road friction coefficient under extremely lower levels of force utilization. Under higher levels of force excitation (high slip conditions), the increased vibration levels due to the stick/slip phenomenon linked to the tread block vibration modes make the proposed tire vibrations based method unsuitable. Therefore for high slip conditions, a tire-road friction model-based parameter estimation approach is proposed. Hence an integrated approach using the smart tire based friction estimator and the model based estimator gives us the capability to reliably estimate friction for a wider range of excitations. Considering the strong interdependence between the operating road surface condition and the instantaneous forces and moments generated; this real time estimate of the tire-road friction coefficient is expected to play a pivotal role in improving the performance of a number of vehicle control systems. In particular, this paper focuses on the possibility of enhancing the performance of collision mitigation braking systems.

Real-time estimation of tire–road friction coefficient based on lateral vehicle dynamics

2020 ◽  
Vol 234 (10-11) ◽  
pp. 2444-2457
Author(s):  
Juqi Hu ◽  
Subhash Rakheja ◽  
Youmin Zhang
Keyword(s):  
Kalman Filter ◽  
Friction Coefficient ◽  
Kalman Filters ◽  
Time Estimation ◽  
Lane Change ◽  
Low Friction ◽  
Road Friction ◽  
Real Time Estimation ◽  
Double Lane Change ◽  
Road Friction Coefficient

This study proposes a two-stage framework for real-time estimation of tire–road friction coefficient of a vehicle on the basis of lateral dynamics of the vehicle. The estimation framework employs a new cascade structure consisting of an extended Kalman filter and two unscented Kalman filters to reduce the computational burden. In the first stage, extended Kalman filter is utilized to estimate lateral velocity of the vehicle and thereby both the front and rear tires’ side-slip angles. In the second stage, a two–unscented Kalman filters sub-framework is formulated in sequence to observe both the front- and rear-axle tire forces, and to subsequently identify their respective tire–road friction coefficient, regarded as two unknown states. All the measured signals required in the study could be realized from the conventional on-board sensors. Typical double-lane change and single-lane change maneuvers were designed and the developed algorithm was verified through CarSim–MATLAB/Simulink software platform considering high-, mid-, and low-friction road conditions. The simulation results show that the proposed method can yield accurate and rapid estimations of the tire–road friction coefficient for mid- and low-friction road conditions even under a single-lane change maneuver, although double-lane change maneuver is needed to accurately estimate the tire–road friction coefficient for high-friction road condition.

Algorithms for Real-Time Estimation of Individual Wheel Tire-Road Friction Coefficients

2012 ◽  
Vol 17 (6) ◽  
pp. 1183-1195 ◽  
Author(s):  
Rajesh Rajamani ◽  
Gridsada Phanomchoeng ◽  
Damrongrit Piyabongkarn ◽  
Jae Y. Lew
Keyword(s):  
Real Time ◽  
Time Estimation ◽  
Friction Coefficients ◽  
Road Friction ◽  
Real Time Estimation
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