Affiliation:
1. School of Engineering, Anhui Agricultural University, Hefei 230036, China
Abstract
The identification and control of tire side slip angle is the key to vehicle stability control. Intelligent tire technology based on the sensing of side-slip acceleration inside the tire provides a novel method for estimating the tire side-slip angle. This study proposed a method to estimate the tire side-slip angle by using the frequency domain lateral acceleration of the tire. First, an intelligent tire testing system was constructed by independently developing a special rim assembly and data collector. A three-axis accelerometer was placed on the right side of the tire, and the acceleration value was acquired by using a wired method with a sampling frequency of 50 kHz. Second, based on the constructed test system, a tire side deflection test was carried out on the Flat Trac bench. Through data analysis, it was found that the lateral acceleration was in the frequency domain of 400 Hz. As the side-slip angle increased from −4° to 4°, the vibration amplitude gradually decreased. Moreover, the vibration amplitude within 0.5~2 kHz was highly correlated with the side-slip angle. Subsequently, the vibration amplitude of the lateral acceleration within 2 kHz was extracted at an interval of 20 Hz as the feature point, and a frequency domain data set FDAy3 was established together with the vertical load and tire pressure. Finally, the support vector machine (SVM) algorithm was employed to make predictions on the data set. The grid search method was utilized to find the optimal parameter values of the model penalty factor c and radial basis kernel function coefficient g, which were 1.4142 and 0.0884, respectively. The results suggested that the root mean square error of the model prediction was 0.0806°, and the maximum estimated angle deviation of the prediction was 0.4587°. Meanwhile, the optimal prediction accuracy and real-time performance were achieved when the number of feature points and the feature frequency band were 25 and within 500 Hz, respectively. The findings of this study confirm that it is feasible to estimate the tire side-slip angle based on the frequency domain lateral acceleration of the tire, which provides a new method for tire side-slip angle estimation.
Funder
Anhui Provincial Key Research and Development Project
National Natural Science Foundation of China
Reference25 articles.
1. Review of vehicle state estimation problem under driving situation;Yu;Image. Chin. J. Mech. Eng.,2009
2. Li, K., Luo, Y., Chen, H., Bian, M., Zhao, Z., Chen, L., Chu, W., Dai, Y., and Gao, B. (2019). State Estimation and Identification of Advanced Electric Vehicle, China Machine Press.
3. Sliding mode observer for nonlinear uncertain systems;Xiong;IEEE Trans. Autom. Control,2001
4. Asymptotic sideslip angle and yaw rate decoupling control in four-wheel steering vehicles;Marino;Veh. Syst. Dyn.,2010
5. Estimation of vehicle sideslip, tire force and wheel cornering stiffness;Baffet;Control Eng. Pract.,2009
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献