Online Intelligent Gear-Shift Decision of Vehicle Considering Driving Intention Using Moving Horizon Strategy

Author(s):  
Jihao Feng ◽  
Datong Qin ◽  
Kang Wang ◽  
Yonggang Liu
Keyword(s):  
2018 ◽  
Vol 11 (10) ◽  
Author(s):  
Arumugam Mahamani
Keyword(s):  

2020 ◽  
Vol 40 (10) ◽  
pp. 801-803
Author(s):  
Yu. V. Remizovich ◽  
O. V. Abdulaeva
Keyword(s):  

2020 ◽  
Vol 10 (1) ◽  
pp. 175-182 ◽  
Author(s):  
Grzegorz Koralewski

AbstractThe work presents a simulation model of a “driver–automation–autonomous vehicles–road” system which is the basis for synthesis of automatic gear shift control system. The mathematical description makes use of physical quantities which characterise driving torque transformation from the combustion engine to the car driven wheels. The basic components of the model are algorithms for the driver’s action logic in controlling motion velocity, logic of gear shift control functioning regarding direction and moment of switching, for determining right-hand side of differential equations and for motion quality indicators. The model is realised in a form of an application software package, comprising sub-programmes for input data, for computerised motion simulation of cars with mechanical and hydro-mechanical – automatically controlled – transmission systems and for models of characteristic car routes.


Author(s):  
Erlie Wang ◽  
Huiyan Chen ◽  
Gang Tao ◽  
Xianhui Wang ◽  
Hongliang Wang

Estimation of the oil hydraulic pressure for the gear-shift elements can be useful for the development of closed-loop control of the automatic transmission fitted to a heavy off-highway vehicle for a good gear-shift quality, to reduce the dissipated energy and the vehicular shift jerk in complex working conditions. The unified dynamic model for a three-degree-of-freedom planetary automatic transmission is presented, and the power-on upshift from first gear to second gear is considered as an example. The unified model is more efficient than the conventional model for the dynamic analysis; furthermore, it provides a computational method for the inertia of the transmission when in gear. From a phased characteristic analysis, real-time estimation of the oil pressure for the gear-shift elements in the sliding process, i.e. the torque phase and the inertia phase, is addressed; then the improved control scheme for the power-on upshift from first gear to second gear is developed and validated using a heavy off-highway vehicle equipped with a high-power full-range speed-regulating diesel engine. The experimental results show that the model-based oil pressure estimation is able to reflect the dynamic characteristics of the system in changing conditions, and the corresponding control strategy can improve the gear-shift quality and the vehicular performance effectively.


Author(s):  
Viet Dac Ngo ◽  
Theo Hofman ◽  
Maarten Steinbuch ◽  
Alex Serrarens

2021 ◽  
Author(s):  
Jian Wang ◽  
Rui Li ◽  
Ying Huang ◽  
Xiaoyu Gao ◽  
Jiwei Shen

1995 ◽  
Vol 61 (591) ◽  
pp. 4334-4338
Author(s):  
Toshimichi Minowa ◽  
Hiroshi Kimura ◽  
Junichi Ishii ◽  
Masahiko Ibamoto

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