Development of Shift Control Algorithm Using Estimated Turbine Torque 2000-01-1150

The powertrain of an automatic transmission has a wide operating range in speed, torque and temperature while driving. It is necessary to know them to achieve good shift quality in various operating conditions without tuning the parameters of the shift quality controller. All but the torque sensor is installed in the automatic transmission because of its high cost. In this study, a more precise algorithm is suggested for estimating turbine torque using a neural network model that has three inputs, i.e., engine speed, turbine speed and temperature. The performance of the suggested turbine torque estimation algorithm is validated through experimental results. To utilize the estimated turbine torque in shift control, a shift control algorithm, which shows good shift quality in various operating conditions, is developed. Good shift quality is obtained irrelevant to the variation of the driving torque and load torque, when the proposed shift control algorithm is applied to the 2-3 power-on upshift in the automatic transmission dynamometer