A Study of Personalized Shift Strategy based on Styled Driver Modeling

DOI

10.2991/lemcs-15.2015.181How to use a DOI?

Keywords

Shift schedule; Fuel comsumption; Driver modeling; B-spline; Driving style; Times of shift

Abstract

Shift schedule is an important parameter for automatic transmission vehicle calibrations, which directly affects the vehicle's power and fuel economy. This paper tries to establish a system to optimize shift performance based on the styled driver model. First researchers proposed to imitate the real-world drivers’ characters based on a locally designed neural network, which divides the driving style into three catagories, aggressive, moderate and mild. Second, the personalized driver models were tested for simulation under the standard speed profile, e.g. FTP-75. Third, the times series of shift and fuel consumption were analyzed under different driving styles. Finally, the shift map for different driving styles are corrected and the test results demonstrate the effectiveness of this method. The corrected shift schedule can effectively reduce fuel consumption and improve shifting comfort, which is useful for Eco-driving.

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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TY  - CONF
AU  - Yun Tang
AU  - Bin Shi
AU  - Jie Hu
AU  - Li Xu
AU  - Wuqiang Meng
PY  - 2015/07
DA  - 2015/07
TI  - A Study of Personalized Shift Strategy based on Styled Driver Modeling
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 915
EP  - 920
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.181
DO  - 10.2991/lemcs-15.2015.181
ID  - Tang2015/07
ER  -