Journal ArticleDOI
Comprehensive prediction method of road friction for vehicle dynamics control
Liang Li,Jian Song,Hongzhi Li,D.-S. Shan,Long Kong,Cai Yang +5 more
- Vol. 223, Iss: 8, pp 987-1002
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TLDR
In this paper, a multi-sensor signal fusion method is used to predict the road friction coefficient for a steering manoeuvre without braking; if active braking is involved, simplified models of the braking pressure and tyre force are adopted to predict road friction c...Abstract:
The contact friction characteristic between a tyre and the road is a key factor that dominates the dynamics performance of a vehicle under critical conditions. Vehicle dynamics control systems, such as anti-lock braking systems, traction control systems, and electronic stability control systems (e.g. Elektronisches Stabilitats Programm (ESP)), need an accurate road friction coefficient to adjust the control mode. No time delay in the estimation of road friction should be allowed, thereby avoiding the disappearance of the optimal control point. A comprehensive method to predict the road friction is suggested on the basis of the sensor fusion method, which is suitable for variations in the vehicle dynamics characteristics and the control modes. The multi-sensor signal fusion method is used to predict the road friction coefficient for a steering manoeuvre without braking; if active braking is involved, simplified models of the braking pressure and tyre force are adopted to predict the road friction c...read more
Citations
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Journal ArticleDOI
A variable structure extended Kalman filter for vehicle sideslip angle estimation on a low friction road
TL;DR: In this article, a variable structure extended Kalman filter integrated with the sidelip angle rate feedback algorithm and damping item is proposed to compensate the model error caused by road friction estimation inaccuracy.
Journal ArticleDOI
Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles
TL;DR: A lateral-stability-coordinated collision avoidance control system (LSCACS) based on the model predictive control (MPC) that is validated by hardware-in-the-loop (HIL) tests, and the results show L SCACS’s effectiveness and great performance of the collision avoidance and lateral stability.
Journal ArticleDOI
Estimation of tire-road friction coefficient based on combined APF-IEKF and iteration algorithm
TL;DR: Wang et al. as mentioned in this paper proposed a method which combines auxiliary particle filter and the iterated extended kalman filter (APF-IEKF), and then processes the results of the first step using iteration algorithm.
Journal ArticleDOI
Comprehensive tire–road friction coefficient estimation based on signal fusion method under complex maneuvering operations
TL;DR: In this paper, a signal fusion method combining the available signals to estimate the road friction coefficient is suggested, on the basis of the estimated ones of braking, driving and steering conditions individually.
Journal ArticleDOI
Linearized Recursive Least Squares Methods for Real-Time Identification of Tire–Road Friction Coefficient
TL;DR: The parameters, including the tire-road friction coefficient, of the combined longitudinal and lateral brushed tire model are identified by linearized recursive least squares (LRLS) methods, which efficiently utilize measurements related to both vehicle lateral and longitudinal dynamics in real time.
References
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Proceedings ArticleDOI
An Analysis of Tire Traction Properties and Their Influence on Vehicle Dynamic Performance
Journal ArticleDOI
Nonlinear state and tire force estimation for advanced vehicle control
TL;DR: Simulation of a simple slip control braking system using slip and slip angle estimates for feedback demonstrates the effectiveness of the extended Kalman filter in providing adequate state estimates for advanced control of ground vehicles.
Journal ArticleDOI
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Proceedings ArticleDOI
Dynamic tire friction models for vehicle traction control
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