Model-Based Wheel Torque and Backlash Estimation for Drivability Control 2017-01-1111
To improve torque management algorithms for drivability, the powertrain controller must be able to compensate for the nonlinear dynamics of the driveline. In particular, the presence of backlash in the transmission and drive shafts excites sharp torque fluctuations during tip-in or tip-out transients, leading to a deterioration of the vehicle drivability and NVH.
This paper proposes a model-based estimator that predicts the wheel torque in an automotive drivetrain, accounting for the effects of backlash and drive shaft flexibility. The starting point of this work is a control-oriented model of the transmission and vehicle drivetrain dynamics that predicts the wheel torque during tip-in and tip-out transients at fixed gear. The estimator is based upon a switching structure that combines a Kalman Filter and an open-loop prediction based on the developed model. The estimator relies only on measurements and signals that are commonly available in production vehicles, and in this paper is implemented in real-time using a rapid prototyping ECU. The estimator is verified experimentally on a test vehicle on a chassis dynamometer.
Citation: Canova, M., Rostiti, C., D'Avico, L., Stockar, S. et al., "Model-Based Wheel Torque and Backlash Estimation for Drivability Control," SAE Int. J. Engines 10(3):1318-1327, 2017, https://doi.org/10.4271/2017-01-1111. Download Citation
Author(s):
Marcello Canova, Cristian Rostiti, Luca D'Avico, Stephanie Stockar, Gang Chen, Michael Prucka, Hussein Dourra
Affiliated:
Ohio State University, Politecnico di Milano, Penn State University, FCA US LLC
Pages: 9
Event:
WCX™ 17: SAE World Congress Experience
ISSN:
1946-3936
e-ISSN:
1946-3944
Also in:
SAE International Journal of Engines-V126-3EJ, SAE International Journal of Engines-V126-3
Related Topics:
Rapid prototyping
Transmissions
Mathematical models
Wheels
Electronic control units
Wear
Powertrains
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