Study on the Shift Schedule Based on Driver Type of Automatic Mechanical Transmission

Peng Han; Xiu Sheng Cheng; Yin Shu Wang; Xi Liu

doi:10.4028/www.scientific.net/AMR.734-737.2721

Paper Titles

The Programming Model about Petroleum Pipeline
p.2704

An Automatic Light Communication System for Vessel
p.2708

Fault Diagnosis System of Large Wind-Driven Generator Based on Virtual Instrument
p.2712

Kinematics Analysis of the Eccentric Swing Paper Transfer Mechanism
p.2717

Study on the Shift Schedule Based on Driver Type of Automatic Mechanical Transmission
p.2721

Automotive Interior Parts Molding Process Simulation and Parameter Optimization
p.2725

PHD Filter for Multi-Radar Multi-Target Tracking
p.2730

A Review on the Development of High Pressure Roller Mill
p.2734

Transform Three Mechanical Stepless Simulation Darkening Welding Helmet Design
p.2738

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737Study on the Shift Schedule Based on Driver Type...

Study on the Shift Schedule Based on Driver Type of Automatic Mechanical Transmission

Abstract:

An intelligent recognition system of driver type suitable for different drivers was studied in this paper,and the driving style recognition based on BP neural network classifier structure was designed to make different types of shift schedules to adapt to different drivers.The intelligent recognition of driver type was verified by simulation.The rusults showed that the intelligent recognition based on BP neural network classifier structure had good adaptive ability,which could meet the requirements of different types of drivers.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

2721-2724

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.2721

Citation:

Cite this paper

Online since:

August 2013

Authors:

Peng Han, Xiu Sheng Cheng, Yin Shu Wang, Xi Liu

Keywords:

AMT, Identification, Powertrain, Shift Schedule

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] A. Pentland and A. Liu, in: Neural Computation, 1999,11(1), 229–242.

Google Scholar

[2] M.G. El-Serbiny, T.P. Newcomb, Numerical Simulation of the Engagement Characteristics of a Wet Clutch, in: Proceedings from Institute of Mechanical Engineers Conference, C63/77, London,1977, p.85.

Google Scholar

[3] O. Benderius, G. Markkula, K. Wolff and M. Wahde, In Proceedings of the Third International Conference on Digital human modeling (ICDHM '11), 2011, p.453–462.

DOI: 10.1007/978-3-642-21799-9_51

Google Scholar

[4] L. Glielmo, L. Iannelli, V. Vacca, and F. Vasca,,Gearshift control for automated manual transmissions,in; IEEE/ASME Transactions onMechatronics, vol. 11, no. 1, p.17–26, 2006.

DOI: 10.1109/tmech.2005.863369

Google Scholar

[5] Y F. B. Hu, D. Y. Sun and D. T. Qin,Journal of Jiangsu University: Natural Science Edition, Vol. 31(2010) No.1 p.19.

Google Scholar

[6] L. Glielmo, L. Iannelli, and V. Vacca, Gearshift control for automated manual transmissions, in:IEEE/ASME Transactions on Mechatronics,11(1) (2006) 17-25.

DOI: 10.1109/tmech.2005.863369

Google Scholar

[7] Z X Sun, K Hebbale: Challenges and Opportunities in Automotive Transmission Control, 2005 American Control Conference June 8-10,2005.Portland,OR,USA; ThC14.2

DOI: 10.1109/acc.2005.1470477

Google Scholar