Model-based estimation of AMT vehicle clutch kinetic friction coefficient

Driving performance and fuel economy are two important factors that attracts customers choosing certain type of vehicles. Those two factors can be improved largely by adopting optimized transmission gear-shifting strategy. The kinetic clutch friction coefficient is important to know to develop an optimized gear-shifting algorithm.This thesis focus on estimating dynamic kinetic friction coefficient between two clutch plats of an automated manual transmission (AMT) vehicle when speed and temperature effects are involved. A Simulink model of an AMT vehicle was developed first, and a new friction coefficient estimation algorithm was then proposed and validated based on the developed Simulink model. Several case studies are completed for the proposed estimation algorithm and fairly good simulation results are presented at the end of thesis.