Open Access
Issue
MATEC Web Conf.
Volume 184, 2018
Annual Session of Scientific Papers IMT ORADEA 2018
Article Number 01021
Number of page(s) 4
Section Mechanical Engineering and Automotive
DOI https://doi.org/10.1051/matecconf/201818401021
Published online 31 July 2018
  1. W. Sarawoot “Modeling and estimation for stepped automatic transmission with clutch-to-clutch shift technology” Dissertation Thesis, Ohio State University, 2004. [Google Scholar]
  2. A. Faraz, “Modelling and simulation of a vehicle with a controlled dual clutch transmission” University of Bradford, 2015. [Google Scholar]
  3. G. Enrico, A. Vigliani, M. Velardocchia, “Dynamic and kinematic model of dual clutch transmission,” Mechanism and machine theory 794-805, 2011. [Google Scholar]
  4. N. Chunsheng, L. Tongli, J. Zhang, “Gearshift control for dry dual-clutch transmissions” Issue 11, Vol.8, pp. 1177-1186, 2009. [Google Scholar]
  5. X. Xiaohui “Shifting Control and Analysis of Dual Clutch Transmission of Automobile.” International Journal of Control and Automation Vol.8, No.12, pp.241-252, 2015. [Google Scholar]
  6. N. Dac, “Gear shift strategies for Automotive Trasnsmission” Eindhoven University of Technology, ISBN 978-90-386-3222-3, 2012. [Google Scholar]
  7. N. Chunsheng, L. Tongli, J. Zhang, “Gearshift control for dry dual-clutch transmissions” Issue 11, Vol.8, pp. 1177-1186, 2009. [Google Scholar]
  8. Y. Wang, “Optimal Gear Shifting Strategy for a Seven-speed Automatic Transmission Used on a Hydraulic Hybrid Vehicle” Dissertation Thesis, University of Toledo, 2012. [Google Scholar]
  9. F. Meng, G. Tao, H. Chen, “Smooth shift control of an automatic transmission for heavy-duty vehicles,” Journal Neurocomputing, 159, pp.197–206, 2015. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.