Tire Slip Angle Estimation Based on the Intelligent Tire Technology

Tire slip angle is a vital parameter in tire/vehicle dynamics and control. This paper proposes an accurate estimation method by the fusion of intelligent tire technology machine-learning techniques. The equipped MEMS accelerometers attached to its inner liner. First, we describe system along with implemented testing apparatus. Second, experimental results under different loading velocity conditions are provided. Then, show procedure data processing, which will be used for training five machine learning techniques estimate angles. that techniques, especially frequency domain, can accurately angles up 10 degrees. More importantly, estimation, all other states parameters easily precisely obtained, significant vehicle advanced control, thus this study has high potential obviously improve safety extreme maneuvers.