Gear-shift control strategy for automatic transmission based on clutches' pressure

2016 ◽  
pp. 475-479
Author(s):  
Q Wei ◽  
Y Lei ◽  
B Hu ◽  
Z Liu ◽  
X Li
Keyword(s):  
Control Strategy ◽  
Automatic Transmission ◽  
Gear Shift ◽  
Shift Control

scholarly journals Smooth Gear Shift Control System of Automatic Transmission Using Estimated Output Shaft Torque.

1995 ◽  
Vol 61 (591) ◽  
pp. 4334-4338
Author(s):  
Toshimichi Minowa ◽  
Hiroshi Kimura ◽  
Junichi Ishii ◽  
Masahiko Ibamoto
Keyword(s):  
Control System ◽  
Automatic Transmission ◽  
Output Shaft ◽  
Gear Shift ◽  
Shift Control ◽  
Shaft Torque

Identification of drivers’ driving habits and shift schedule correction for vehicles with automatic transmission

2021 ◽  
pp. 095440702110343
Author(s):  
Guang Xia ◽  
Hualei Zhang ◽  
Xiwen Tang ◽  
Shilong Wu ◽  
Linfeng Zhao ◽  
...  
Keyword(s):  
Phase Space ◽  
Control Strategy ◽  
Automatic Transmission ◽  
Resource Conservation ◽  
Phase Space Reconstruction ◽  
Evaluation Index ◽  
Reconstruction Method ◽  
Kolmogorov Entropy ◽  
Gear Shift ◽  
Control Signals

Resource conservation has become a hot topic, and driving habits also have a significant impact on a car’s fuel consumption. In view of the different needs of drivers with different driving habits for automatic transmission and shift characteristics, a vehicle automatic transmission, and shift correction control strategy based on driving habit recognition is proposed. Based on the analysis of drivers’ driving behavior, the phase space reconstruction method is first used to reconstruct the time series of driving control signals, and the driving habit identification and gear shift correction control are conducted based on the correlation dimension and Kolmogorov entropy evaluation index. Simulation and real car test show that the identification method based on phase space reconstruction method and driving habits evaluation index can accurately identify drivers’ driving habits. The gear shift correction control strategy based on driving habit recognition fully meets the different requirements of different drivers for the gearshift performance of vehicles and improves the intelligence degree of automatic transmission of vehicles.

Down-Shift Control for Wet Dual Clutch Transmission Based on FCMAC

2013 ◽  
Vol 753-755 ◽  
pp. 1800-1803
Author(s):  
Chun Hua Xu
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Control Unit ◽  
Control Program ◽  
Cerebellar Model Articulation Controller ◽  
Accuracy Control ◽  
Dual Clutch Transmission ◽  
Transmission Control ◽  
Gear Shift ◽  
Shift Control

In order to solve the problems existed in gearshift with wet dual clutch transmission; the down-shift control strategy is developed on the basis of analysis on gear shift process. Clutch pressure intelligent control arithmetic based on FCMAC (Fuzzy Cerebellar Model Articulation Controller) is designed to realize accuracy control of clutch pressure. The transmission control unit is designed, and the control program is written. Taking down-shift from 2 to 1 for example, down-shifting control strategy was drawn. After applied the introduced method into the experiments on both power-on and power-off downshift under different throttle positions, ideal shifting quality was achieved. The result indicated that the speed of vehicle changed gently without distinct impact. This essay verifies the validity of the proposed method of the strategy of shifting control.

Study of Shock Control of Gear-Shifting in Automatic Transmission

2012 ◽  
Vol 490-495 ◽  
pp. 890-894
Author(s):  
Xiang Chen ◽  
Guo Fang Li ◽  
Lin Yan Zhang ◽  
Shuang Liu
Keyword(s):  
Automatic Transmission ◽  
Angular Acceleration ◽  
Pressure Change ◽  
Simulation Test ◽  
Motion Equations ◽  
Gear Shift ◽  
Dynamic Motion ◽  
Shock Control ◽  
Lever System ◽  
Shift Control

A new smooth shifting control is worked out in response to problems existed in gear-shift control of the AG4 automatic transmission, and a new pattern of oil pressure change for the engaging elements during the transition stage is formulated. Dynamic motion equations for the AG4 automatic transmission are established using simulated lever system. The simulation test is done of the 2nd-3rd (3rd-2nd) gear-shift phase in AG4 automatic transmission by means of MATLAB/Simulink software. The result of which shows the change in amplitude of the output shaft angular acceleration and that of the degree of jerk are noticeably reduced when applying the new oil pressure pattern to control the process in the AG4 automatic transmission. Therefore, the smooth shifting control is achieved by reducing the shock subjected during gear-shift, and thus the gear-shift process is greatly improved.

A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference

2016 ◽  
Vol 231 (5) ◽  
pp. 684-699 ◽  
Author(s):  
Lipeng Zhang ◽  
Xiaohong Zhang ◽  
Zongqi Han ◽  
Junyun Chen ◽  
Jingchao Liu
Keyword(s):  
Control Strategy ◽  
Dynamic Performance ◽  
Automatic Transmission ◽  
Rate Of Change ◽  
Manual Transmission ◽  
Vehicle Speed ◽  
Shift Control ◽  
Automated Manual Transmission ◽  
Shift Strategy ◽  
Driver’S Intention

For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective.

Research on Integrated Shift Control Strategy for Automatic Transmission

2016 ◽  
Vol 835 ◽  
pp. 687-692 ◽  
Author(s):  
Lin Yue Zhang ◽  
Yao Fu ◽  
Xing Zhong Li
Keyword(s):  
Control Strategy ◽  
Integrated Control ◽  
Automatic Transmission ◽  
Shift Quality ◽  
Shift Control ◽  
Output Torque ◽  
Control Target ◽  
Simulation Results ◽  
Process Engine ◽  
Control Principle

Shift process of automatic transmission is divided into torque phases and inertia phase, and the control principle of clutch to clutch shift is studied with the lever method. Then, inertia phase engine and transmission integrated control principle and entire shift process engine and transmission integrated control principle are respectively studied with taking power on up shift as study example and taking the transmission output torque fluctuations during shifting minimum as control target. Simulation results are compared to the results of power on up shift without engine and transmission integrated control, and it is proved that the transmission output torque overshoot peak with inertia phase engine and transmission integrated control strategy is decreased significantly and shifting jerks are reduced. Shift quality is improved significantly.

scholarly journals Modelling of the system “driver - automation - autonomous vehicle - road”

2020 ◽  
Vol 10 (1) ◽  
pp. 175-182 ◽  
Author(s):  
Grzegorz Koralewski
Keyword(s):  
Autonomous Vehicles ◽  
Combustion Engine ◽  
Autonomous Vehicle ◽  
Application Software ◽  
Motion Simulation ◽  
Gear Shift ◽  
Shift Control ◽  
Driving Torque ◽  
Physical Quantities ◽  
Motion Quality

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.

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