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Control-Oriented Modeling of a Vehicle Drivetrain for Shuffle and Clunk Mitigation
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 02, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Flexibility and backlash of vehicle drivelines typically cause unwanted oscillations and noise, known as shuffle and clunk, during tip-in and tip-out events. Computationally efficient and accurate driveline models are necessary for the design and evaluation of torque shaping strategies to mitigate this shuffle and clunk. To accomplish these goals, this paper develops a full-order physics-based model and uses this model to develop a reduced-order model (ROM), which captures the main dynamics that influence the shuffle and clunk phenomena. The full-order model (FOM) comprises several components, including the engine as a torque generator, backlash elements as discontinuities, and propeller and axle shafts as compliant elements. This model is experimentally validated using the data collected from a Ford vehicle. The validation results indicate less than 1% error between the model and measured shuffle oscillation frequencies. The reduced-order model is derived by lumping 24 inertia elements into 2 elements, 3 stiffness and damping elements into 2 elements, and 2 backlashes into 1 element. As part of the reduced-order model development, the paper (i) investigates the effect of using a simplified tire model; (ii) investigates the effect of lumping transmission and final drive backlashes; and (iii) evaluates the ROM for shuffle and clunk control. Simulation results show that the ROM replicates the behavior of the FOM with less than 5% error in predicting shuffle frequency, thus making it suitable for the design of torque shaping controllers to mitigate shuffle and clunk.
|Technical Paper||A Hybrid Method for Vehicle Axle Noise Simulation with Experimental Validation|
|Technical Paper||The Influence of Boundary Conditions on the Vibration Transmission Properties of Tires|
|Technical Paper||Advanced, Light Weight Transfer Case|
- Prithvi Reddy - Michigan Technological University
- Kaushal Darokar - Michigan Technological University
- Darrell Robinette - Michigan Technological University
- Mahdi Shahbakhti - Michigan Technological University
- Jason Blough - Michigan Technological University
- Maruthi Ravichandran - Ford Research & Advanced Engineering
- Mary Farmer - Ford Research & Advanced Engineering
- Jeff Doering - Ford Research & Advanced Engineering
CitationReddy, P., Darokar, K., Robinette, D., Shahbakhti, M. et al., "Control-Oriented Modeling of a Vehicle Drivetrain for Shuffle and Clunk Mitigation," SAE Technical Paper 2019-01-0345, 2019, https://doi.org/10.4271/2019-01-0345.
Data Sets - Support Documents
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