Intelligent vehicle controllability level prediction method

The invention provides an intelligent vehicle controllability level prediction method, which comprises the following steps of: firstly, identifying a road surface type in a range of 30-50 meters in front of an intelligent vehicle through a visual sensor mounted on the intelligent vehicle, and obtaining a road surface peak adhesion coefficient according to a road surface adhesion coefficient range corresponding to the road surface type in the range of 30-50 meters in front; according to vehicle dynamics response information collected by the intelligent vehicle in real time, estimating a pavement utilization adhesion coefficient of the position where the current vehicle is located through an extended Kalman filtering algorithm; carrying out space-time alignment on the road surface peak adhesion coefficient and the road surface utilization adhesion coefficient by adopting a space-time synchronization method; and finally, the maximum tire force and the current tire force are calculated through the tire model, and