Predictive Shift Strategy of Dual-Clutch Transmission for Driving Safety on the Curve Road Combined with an Electronic Map
Journal Article
10-07-01-0001
ISSN: 2380-2162, e-ISSN: 2380-2170
Sector:
Citation:
Wu, G., Lyu, Z., and Wang, C., "Predictive Shift Strategy of Dual-Clutch Transmission for Driving Safety on the Curve Road Combined with an Electronic Map," SAE Int. J. Veh. Dyn., Stab., and NVH 7(1):3-21, 2023, https://doi.org/10.4271/10-07-01-0001.
Language:
English
Abstract:
In order to improve the safety of vehicles driving in mountainous areas and other
curve roads, a DCT shift strategy for different drivers is designed in this
article. First, the test road is digitized and an electronic map model is built
based on particle filtering (PF) to achieve the optimal prediction of road
conditions. Then, a driver’s intention recognition model is constructed based on
principle component analysis (PCA) and Kohonen neural network (KohonenNN) to
accommodate different driving intentions, and the appropriate downshift
schedules are designed for different driver’s intentions. In addition, we
propose the concept of the curve safety factor, and the current safety level is
determined by vehicle speed and distance. By combining the earlier discussed
concepts, the predictive curve shift strategy is presented. To determine the
appropriate downshift schedule and make full use of the auxiliary engine brake
to improve the vehicle’s braking efficiency, the strategy utilizes the driver’s
intention as well as the vehicle’s current safety level. The simulation and real
vehicle test results show that the predictive curve shift strategy can
effectively reduce the braking distance and time compared with the traditional
one.