Simulation of AMT Ramp Adaptive Shift Strategy Based on Fuzzy Neural Network

Abstract

This paper uses the fuzzy neural network technology to establish AMT ramp adaptive system. When driving on a vehicle ramp, the shift point is modified. In the uphill, the forced downshift ensures that the vehicle has sufficient power and effectively avoids frequent shifting; In the downhill, to avoid the high speed and high grade of the vehicle, the brake must be used for a long time to stabilize the vehicle speed, which may cause the brake drum or the brake disc to overheat, thus causing an accident.