Development of Shift Control Algorithm Using Estimated Turbine Torque Seoul National University

Format:

Book

Conference/Event

Author/Creator:

Shin, Byung Kwan, author.

Conference Name:

SAE 2000 World Congress (2000-03-06 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2000

Summary:

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, id est, 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

Notes:

Vendor supplied data

Publisher Number:

2000-01-1150

Access Restriction:

Restricted for use by site license