A Study of Personalized Shift Strategy based on Styled Driver Modeling
Yun Tang, Bin Shi, Jie Hu, Li Xu, Wuqiang Meng
Available Online July 2015.
- https://doi.org/10.2991/lemcs-15.2015.181How to use a DOI?
- Shift schedule; Fuel comsumption; Driver modeling; B-spline; Driving style; Times of shift
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015) PB - Atlantis Press SP - 915 EP - 920 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.181 DO - https://doi.org/10.2991/lemcs-15.2015.181 ID - Tang2015/07 ER -