Nonlinear identification of torsional driveshaft vibrations in a full-scale automotive vehicle during acceleration

Yoshida, Katsutoshi; Takamatsu, Hideki; Matsumoto, Shigeki

doi:10.1007/s11071-016-2917-8

Cited by 4 publications

(5 citation statements)

References 18 publications

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“…Next, we modify the second equation of (2) to make it suitable for developing our estimator, which receives T eg (t) and T ds (t) and outputs T tm (t). As successfully demonstrated in our previous study (Yoshida et al, 2016), the effects of the external resistances can be modeled by the equivalent constant components of torques. Thus, we assume…”

Section: Vibration Modelmentioning

confidence: 85%

“…We evaluate the accuracy of the estimated torque as the quality of the following form (Brown and Grande-Moran, 1997;Yoshida et al, 2016):…”

Section: Torque Estimation Resultsmentioning

confidence: 99%

“…The experimental vehicle is a production continuously variable transmission (CVT) vehicle with a 1,500-cc gasoline engine (Yoshida et al, 2016) whose drivetrain is schematically shown in Fig. 1.…”

Section: Driving Experimentsmentioning

confidence: 99%

“…where F is a torque transfer function that models forward and backward contacts between the clearance or backlash of a drivetrain; this was already given in our previous study (Yoshida et al, 2016) as…”

Section: Torque Transfer Modelmentioning

confidence: 99%

“…1. In our estimator, the nonlinear dynamics of the drivetrain are described by a single degreeof-freedom (DOF) piecewise linear vibration model, which comprises a torque transfer function successfully used in our previous study (Yoshida et al, 2016) wherein another type of drivetrain model of single-input single-output (SISO) was built to predict the measurable drive-shaft torque.…”

Section: Introductionmentioning

confidence: 99%

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

Yoshida

Takamatsu

2019

JAMDSM

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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.

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Section: Vibration Modelmentioning

confidence: 85%

“…We evaluate the accuracy of the estimated torque as the quality of the following form (Brown and Grande-Moran, 1997;Yoshida et al, 2016):…”

Section: Torque Estimation Resultsmentioning

confidence: 99%

Section: Driving Experimentsmentioning

confidence: 99%

Section: Torque Transfer Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%