Research on Road Surface Recognition Model Based on Electromagnetic-friction Integrated

Congcong Hu

Chongqing Jiaotong University, Chongqing, 400074, China

Abstract: In order to be able to determine the magnitudes of the electromagnetic braking torque and the fric-tional braking torque and the optimal slip ratio of the wheel in the electromagnetic-friction integrated brake anti-lock braking process, a large number of samples are trained according to an adaptive neuro-fuzzy infe-rence system. Learning the road surface recognition model, the simulation results show that the road surface recognition model can accurately identify the docking road surface and give the best slip ratio and peak adhesion coefficient.

Keywords: integrated braking; slip rate; adaptive neuro-fuzzy network