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Velocity and normal tyre force estimation for heavy trucks based on vehicle dynamic simulation considering the road slope angle |
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| Authors: | Zeyu Ma James Yang |
| Institution: | 1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China;2. Department of Mechanical Engineering, Texas Tech University, Lubbock, USA |
| Abstract: | A precise estimation of vehicle velocities can be valuable for improving the performance of the vehicle dynamics control (VDC) system and this estimation relies heavily upon the accuracy of longitudinal and lateral tyre force calculation governed by the prediction of normal tyre forces. This paper presents a computational method based on the unscented Kalman filter (UKF) method to estimate both longitudinal and lateral velocities and develops a novel quasi-stationary method to predict normal tyre forces of heavy trucks on a sloping road. The vehicle dynamic model is constructed with a planar dynamic model combined with the Pacejka tyre model. The novel quasi-stationary method for predicting normal tyre forces is able to characterise the typical chassis configuration of the heavy trucks. The validation is conducted through comparing the predicted results with those simulated by the TruckSim and it has a good agreement between these results without compromising the convergence speed and stability. |
| Keywords: | Unscented Kalman filter state estimation vehicle system dynamics normal tyre forces |