Tire pure sideslip model recognition using fused state observation and optimization method
QIU Xiang1， WU Xiaojian2， ZHOU Bing3
1.Collaboration Innovation Center, Jiangxi University of Technology, Nanchang 330098, China;
2.School of Mechanical & Electrical Engineering, Nanchang University, Nanchang 330031, China;
3.State Key Lab of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China
Abstract：Aiming at limits of most current tire model recognition being based on the assumption of tire force, tire sideslip angle etc. being known or measurable, a new method for tire pure sideslip model recognition based on the magic formula (MF) of on-board sensor and overall vehicle handling stability test was proposed. In this method, the state observation and optimization method were fused. Firstly, characteristic parameters of the tire model were preliminarily estimated using the unscented Kalman filter (UKF) state observation system, and then the parametric recognition was converted into an optimization problem. the UKF state observation system provided initial values for the particle swarm optimization (PSO) algorithm. UKF estimation results combined with parametric sensitivity analysis ones gained with MF of tire pure sideslip model to provide a search interval for PSO algorithm, and further obtain a more accurate recognition. The results of Simulink simulation and Simulink-Carsim joint simulation under different lateral accelerations showed that when lateral acceleration of a vehicle reaches a certain level to make tire enter nonlinear domain, the proposed recognition method can get more accurate recognition results.
邱香1，吴晓建2，周兵3. 融合状态观测及优化方法的纯侧偏轮胎模型辨识[J]. 振动与冲击, 2020, 39(13): 84-90.
QIU Xiang1， WU Xiaojian2， ZHOU Bing3. Tire pure sideslip model recognition using fused state observation and optimization method. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(13): 84-90.
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