This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function

Journal Article
2021-01-0712
ISSN: 2641-9645, e-ISSN: 2641-9645
Published April 06, 2021 by SAE International in United States
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Sector:
Citation: Shui, H., Zhang, Y., Yang, H., Upadhyay, D. et al., "Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function," SAE Int. J. Adv. & Curr. Prac. in Mobility 3(5):2738-2744, 2021, https://doi.org/10.4271/2021-01-0712.
Language: English

References

  1. Fujii , Y. , Kapas , N. , and Tseng , J. Clutch Wet Encyclopedia of Automotive Engineering Wiley & Sons 2014
  2. Gardner , G. 10R80 MHT Transmission SAE Innovations in Mobility Symposium Novi, MI Oct. 2019
  3. Xu , X. , Liang , Y. , Jordan , M. , Tenberge , P. , and Dong , P. Optimized Control of Engine Start Assisted by the Disconnect Clutch in a P2 Hybrid Automatic Transmission Journal of Mechanical Systems and Signal Processing 124 313 329 2019
  4. Haria , H. , Fujii , Y. , Pietron , G. , Sun , A. et al. Advanced Bench Test Methodology for Generating Wet Clutch Torque Transfer Functions for Enhanced Drivability Simulations SAE Technical Paper 2019-01-2340 2019 https://doi.org/10.4271/2019-01-2340
  5. Zhang , Y. , Haria , H. , Hippalgaonkar , R. , Pietron , G. , and Fujii , Y. Automatic Transmission Shift Control for Cancelling Inertia Torque SAE Technical Paper 2018-01-1167 2018 https://doi.org/10.4271/2018-01-1167
  6. Wendel , M. , Haria , H. , and Katopodes , N. Advanced Wet Clutch Test Methodology for Upfront Controllability Assessment SAE Innovations in Mobility Symposium Novi, MI Oct. 2019
  7. Yanakiev , D. , Fujii , Y. , Tseng , E. , Pietron , G. , Kucharski , J. , and Kapas , N. Torque Phase Shift Control Based on Clutch Torque Estimation ASME 2013 Dynamic Systems and Control Conference USA Oct. 2013
  8. Bishop , C.M. Pattern Recognition and Machine Learning Springer 2006 0-387-31073-8
  9. Rasmussen , C.E. and Williams , C.K.I. Gaussian Processes for Machine Learning The MIT Press 2006 026218253X
  10. Yang , H. , Kidambi , N. , Wang , K.W. , Pietron , G.M. et al. Quantifying the Effect of Initialization Errors for Enabling Accurate Online Drivetrain Simulations SAE Technical Paper 2019-01-0347 2019 https://doi.org/10.4271/2019-01-0347
  11. Yang , H. , Kidambi , N. , Fujii , Y. , Gorodetsky , A. , and Wang , K. Uncertainty Quantification Using Generalized Polynomial Chaos for Online Simulation of Automotive Propulsion Systems 2020 American Control Conference Denver, CO, USA July 2020

Cited By