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Corner-based estimation of tire forces and vehicle velocities robust to road conditions |
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| Affiliation: | 1. Department of Mechanical and Mechatronics Engineering, University of Waterloo, ON, Canada;2. R&D Department, General Motors Co., Warren, MI, USA;1. Mechanical Engineering Department, University of Waterloo, Waterloo, ON, Canada N2L 3G1;2. Global Research and Development Center, General Motors Company, Warren, MI 48090-9055, United States |
| Abstract: | Recent developments in vehicle stability control and active safety systems have led to an interest in reliable vehicle state estimation on various road conditions. This paper presents a novel method for tire force and velocity estimation at each corner to monitor tire capacities individually. This is entailed for more demanding advanced vehicle stability systems and especially in full autonomous driving in harsh maneuvers. By integrating the lumped LuGre tire model and the vehicle kinematics, it is shown that the proposed corner-based estimator does not require knowledge of the road friction and is robust to model uncertainties. The stability of the time-varying longitudinal and lateral velocity estimators is explored. The proposed method is experimentally validated in several maneuvers on different road surface frictions. The experimental results confirm the accuracy and robustness of the state estimators. |
| Keywords: | Vehicle state estimation Velocity estimation Tire force estimation Robust observer design |
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