Many surveys on vehicle traffic safety have shown that the tire road friction coefficient(TRFC)is correlated with the probability of an accident.The probability of road accidents increases sharply on slippery road sur...Many surveys on vehicle traffic safety have shown that the tire road friction coefficient(TRFC)is correlated with the probability of an accident.The probability of road accidents increases sharply on slippery road surfaces.Therefore,accurate knowledge of TRFC contributes to the optimization of driver maneuvers for further improving the safety of intelligent vehicles.A large number of researchers have employed different tools and proposed different algorithms to obtain TRFC.This work investigates these different methods that have been widely utilized to estimate TRFC.These methods are divided into three main categories:off-board sensors-based,vehicle dynamics-based,and data-driven-based methods.This review provides a comparative analysis of these methods and describes their strengths and weaknesses.Moreover,some future research directions regarding TRFC estimation are presented.展开更多
Road friction coefficient real-time estimation methods is an important issue and problem in automotive active safety con- trol system development. First a fixed feedback gain sliding mode observer of road adhesion coe...Road friction coefficient real-time estimation methods is an important issue and problem in automotive active safety con- trol system development. First a fixed feedback gain sliding mode observer of road adhesion coefficient is designed through the es-tablishment of tire/road dynamic friction model in this article. The simulation results shows that the observer can well real-time iden-tify the current road adhesion characteristics. And more importantly, the observer only need wheel speed signal and the braking torque (brake pressure) signal, so the system is low cost, and its adaptability is good. There is no doubt this estimation method has a good application prospect.展开更多
The precise and accurate control of the friction between tire and road is the foundation of the vehicle driving conditions furthest utilization and vehicle dynamics control. First the tire/road longitudinal and latera...The precise and accurate control of the friction between tire and road is the foundation of the vehicle driving conditions furthest utilization and vehicle dynamics control. First the tire/road longitudinal and lateral dy- namic friction characteristics is studied in this paper. The lumped, distributed and lumped average dynamic tire models are established; Then the steady-state LuGre dynamic tire model characteristics is studied and was com- pared with magic formulas tire model, etc. to verify the reliability of the model. The results showed that the LuGre model can express tire dynamic friction characteristics. The tire dynamics study in this paper has impor- tant significance for the tire mechanics and automotive electronic control system development.展开更多
基金Supported by the National Natural Science Funds for Distinguished Young Scholar of China(Grant No.52025121)National Natural Science Foundation of China(Grant Nos.51975118,52002066).
文摘Many surveys on vehicle traffic safety have shown that the tire road friction coefficient(TRFC)is correlated with the probability of an accident.The probability of road accidents increases sharply on slippery road surfaces.Therefore,accurate knowledge of TRFC contributes to the optimization of driver maneuvers for further improving the safety of intelligent vehicles.A large number of researchers have employed different tools and proposed different algorithms to obtain TRFC.This work investigates these different methods that have been widely utilized to estimate TRFC.These methods are divided into three main categories:off-board sensors-based,vehicle dynamics-based,and data-driven-based methods.This review provides a comparative analysis of these methods and describes their strengths and weaknesses.Moreover,some future research directions regarding TRFC estimation are presented.
基金Partially Supported by Henan Polytechnic University Doctoral Fund(No.B2010-12)+2 种基金Natural Science Fund of Henan Province Education Department(No.2011B580001)Henan Province Key Technology Research Project(No.122102210045)
文摘Road friction coefficient real-time estimation methods is an important issue and problem in automotive active safety con- trol system development. First a fixed feedback gain sliding mode observer of road adhesion coefficient is designed through the es-tablishment of tire/road dynamic friction model in this article. The simulation results shows that the observer can well real-time iden-tify the current road adhesion characteristics. And more importantly, the observer only need wheel speed signal and the braking torque (brake pressure) signal, so the system is low cost, and its adaptability is good. There is no doubt this estimation method has a good application prospect.
基金supported by Henan Polytechnic University Doctoral Fund under Grant No.B2010-12the natural science fund of Henan province education department under Grant No.2011B580001Henan Province Key Technology Research Project under Grant No.122102210045
文摘The precise and accurate control of the friction between tire and road is the foundation of the vehicle driving conditions furthest utilization and vehicle dynamics control. First the tire/road longitudinal and lateral dy- namic friction characteristics is studied in this paper. The lumped, distributed and lumped average dynamic tire models are established; Then the steady-state LuGre dynamic tire model characteristics is studied and was com- pared with magic formulas tire model, etc. to verify the reliability of the model. The results showed that the LuGre model can express tire dynamic friction characteristics. The tire dynamics study in this paper has impor- tant significance for the tire mechanics and automotive electronic control system development.