An algorithm for estimating road adhesion coefficient in vehicle steering condition

作者：Chen, Wuwei; Liu, Xiangyu; Huang, He; Yang, Jun

来源：Qiche Gongcheng/automotive Engineering, 2011, 33(6): 521-526.

• Adhesion coefficient
• BP neural networks
• Front wheels
• Lateral acceleration
• MATLAB/ SIMULINK
• Sideslip angles
• Vehicle model
• Yaw rate

In this paper an algorithm for estimating road adhesion coefficient in steering condition is proposed based on wheel cornering characteristics. Firstly, a 7 DOF vehicle model is built with Matlab simulink and the wheel cornering characteristics are analyzed. Then an extended kalman filter is designed to estimate the longitudinal and lateral speeds according to its longitudinal and lateral accelerations, and the side slip angles of wheels are calculated. Finally, the BP neural network algorithm is adopted to estimate road adhesion coefficient based on the side slip angles of two front wheels and the yaw rate and its gain of vehicle. The results of simulation verify the effectiveness of the algorithm.

• 出版日期2011-6
• 单位合肥工业大学