Nonlinear estimation of the transmission-input-shaft torque in a full-scale automotive vehicle

Abstract

A nonlinear torque estimator for accurately estimating non-measurable transmission-input-shaft torque in a fullscale automotive vehicle with continuously variable transmission is proposed. The estimator is based on a singledegree-of-freedom, nonlinear drivetrain model; it describes the clearance-induced torsional dynamics of the drivetrain and simulates the non-measurable torque arising from measurable engine-output-shaft torque and drive-shaft torque. Parameters of the estimator are identified from time series obtained from the full-scale vehicle via particle swarm optimization. The estimated transmission-input-shaft torque agrees with the physical torque, suggesting that the estimation quality is above 94.5%. Our estimator extrapolates the transmission-input-shaft torque outside the identified time interval and estimates an unknown sample of the torque measured from a separate trial of the experiment. Our estimator is further improved by delaying the time series of input torques.

Investigation of the effect of rotation speed on the torsional vibration of transmission system

“…It is necessary to determine the value of torque as the output torque of engine does not change linearly. A nonlinear torque estimator for accurately estimating non-measurable torque in an automotive vehicle was proposed (Yoshida et al, 2019). The estimator was based on a single degree-of-freedom, nonlinear drivetrain model, which simulated the non-measurable torque arising from measurable engine-output-shaft torque and drive-shaft torque.…”