The increase of electric mobility is leading to new drivetrain designs in vehicle development. A common problem in electric drivetrains are torsional oscillations caused by elastic components. These components are wheel shafts, tires and bushings. A common problem, its sensitivity to parameter variation has not yet been fully investigated. The objective of this study is to quantify the sensitivity of oscillation frequency, damping and coupling between components with respect to key drivetrain parameters. A parameter space is investigated using Monte-Carlo sampling. A linear state space model is parameterized for each sample. Modal analysis permits the analysis of oscillation frequency, damping and coupling between components using the state variables. Subsequently, a Gaussian mixture model clusters the resulting data to form mode groups. Finally, linear regressions quantify the sensitivities. The results show oscillation damping can be increased by stiff wheel shafts. Decoupling of components in oscillation modes is mainly achieved by separating the oscillation frequencies of the different modes.
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ASME 2018 Dynamic Systems and Control Conference
September 30–October 3, 2018
Atlanta, Georgia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5189-0
PROCEEDINGS PAPER
Sensitivity Analysis of Drivetrain Oscillations in Electric Vehicles Available to Purchase
Matthias Foerth,
Matthias Foerth
Technical University of Munich, Garching, Germany
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Junya Ota,
Junya Ota
Toyota Motor Corporation, Susono, Japan
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Markus Lienkamp
Markus Lienkamp
Technical University of Munich, Garching, Germany
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Matthias Foerth
Technical University of Munich, Garching, Germany
Junya Ota
Toyota Motor Corporation, Susono, Japan
Markus Lienkamp
Technical University of Munich, Garching, Germany
Paper No:
DSCC2018-8965, V001T10A003; 10 pages
Published Online:
November 12, 2018
Citation
Foerth, M, Ota, J, & Lienkamp, M. "Sensitivity Analysis of Drivetrain Oscillations in Electric Vehicles." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare. Atlanta, Georgia, USA. September 30–October 3, 2018. V001T10A003. ASME. https://doi.org/10.1115/DSCC2018-8965
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