Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

Shift Schedule Modification for Automated Manual Transmission Based on Road Slope Identification

Authors
H. Lu, X.F. Yin, X.H. Wu
Corresponding Author
H. Lu
Available Online July 2015.
DOI
10.2991/eame-15.2015.33How to use a DOI?
Keywords
slope recognition; shift schedule; automated manual transmission
Abstract

Identification of the road slope is a key issue for automated manual transmission (AMT) to have its shift schedule adapt to the slope change during operation. To tackle the problem of frequent gearshift on ramp of the traditional shift schedule, a slope recognition method based on the vehicle’s acceleration is proposed and the traditional shift schedule has been modified using genetic algorithm. The shift performance of running on ramp has been analyzed and the traditional shift schedule has been modified to get rid of its weakness when traveling on the ramp. Genetic algorithm has been used to calculate the shift schedule. Simulation result show that modified shift schedule can adapt to the slope change effectively.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
10.2991/eame-15.2015.33
ISSN
2352-5401
DOI
10.2991/eame-15.2015.33How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - H. Lu
AU  - X.F. Yin
AU  - X.H. Wu
PY  - 2015/07
DA  - 2015/07
TI  - Shift Schedule Modification for Automated Manual Transmission Based on Road Slope Identification
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 124
EP  - 127
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.33
DO  - 10.2991/eame-15.2015.33
ID  - Lu2015/07
ER  -