Shift Control Strategy of Three-Parameter for AMT

2013 ◽  
Vol 860-863 ◽  
pp. 2732-2737
Author(s):  
Zhen Zhao ◽  
Yong Chen ◽  
Yu Xi Cai

The shift strategy affects the vehicle dynamic performance, ride quality directly. On the basis of the shift control strategy analysis for the traditional ICE vehicle, throttle, speed and acceleration were chosen as control parameters to determine the shift strategy. The determined three-parameter shift strategy was simulated in the CRUISE software environment. The shift quality was evaluated by two criteria. The simulation results show that the design of the shift control strategy can effectively improve the vehicle dynamic performance and shifting comfort.

2013 ◽  
Vol 791-793 ◽  
pp. 668-671
Author(s):  
Ke Gang Zhao ◽  
Hao Chang ◽  
Yong Liang Hu ◽  
Wei Hao Yao

Uninterrupted Shift Transmission (UST) is a novel vehicle transmission and which is introduced as the research object in this paper. It realizes torque uninterrupted shift by controlling dual multimode controlled shifter (MCS) modes and synchronizers. Fuzzy control technology is adopted in shift control strategy in order to improve its shift quality. Experimental results show that the fuzzy control strategy can improve the shift quality of UST effectively.


2011 ◽  
Vol 48-49 ◽  
pp. 1038-1043
Author(s):  
Yan Wei Liu ◽  
Ke Gang Zhao ◽  
Xiang Dong Huang ◽  
Rong Shan Yang

Working principle of an uninterrupted shift transmission (UST) based on overrunning mechanism and its driveline dynamic model, as well as shift control strategy are studied. For shift quality optimization, the throttle control parameters are calculated based on simplex method and genetic algorithm. Using the control strategy and optimized parameters, simulation results show that jerks and clutch slip during shift are controlled well, satisfactory shift quality is obtained without power flow interruption.


Author(s):  
Lipeng Zhang ◽  
Xiaohong Zhang ◽  
Zongqi Han ◽  
Junyun Chen ◽  
Jingchao Liu

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.


2021 ◽  
Vol 37 (4) ◽  
pp. 677-689
Author(s):  
Guang Xia ◽  
Yueqiang Wang ◽  
Xiwen Tang ◽  
Linfeng Zhao ◽  
Jinfang Hu

Highlights A power shift control strategy based on torque and speed transition, which aims to deliver multiple target and multiparameter optimization of power shift control, is proposed in this study. It can effectively solve the shift power cycle. Based on minimum optimal control theory, the optimal control of shift quality during power shifting optimizes clutch terminal oil pressure, which is determined by solving the Rebecca differential matrix equation and shift characteristics based on various stages. By aiming at the multiple target and multiparameter optimization problem of the clutch control in the power shift process, the minimum optimal control principle is applied to the shift quality optimization of the power shift. Based on the minimum optimal control theory, the optimal solution of the terminal oil pressure of the clutch is determined by solving the Rebecca differential matrix equation to improve the shift quality of the power shift process. Abstract . The dual clutch of the combined transmission of a tractor with large horsepower uses a dynamic shifting process, in which only one clutch undergoes slipping friction during the shift. A power shift control strategy based on torque and speed transition, which aims to deliver multiple target and multiparameter optimization of power shift control, is proposed in this study. Based on minimum optimal control theory, the optimal control of shift quality during power shifting optimizes clutch terminal oil pressure, which is determined by solving the Rebecca differential matrix equation and shift characteristics based on various stages. In addition, the power shift simulation model of the double clutch is established. Simulation results show that the power shift control strategy based on single slip friction can effectively avoid power flow cycle, uninterruptible tractor power shift, and adaptive resistance change. The minimum optimization theory can effectively reduce the output torque fluctuation in the dynamic shift process, reduce friction work, and improve the shift impact. Keywords: Double clutch, Heavy-horsepower tractor, Minimum theory, Power shift.


Author(s):  
Yunqing Zhang ◽  
Si Gao ◽  
Lingyang Li ◽  
Liping Chen ◽  
Jingzhou Yang ◽  
...  

Vehicle stability control system can enhance the vehicle stability and handling in the emergency situations through the control of traction and braking forces at the individual wheels. This paper presents a Fuzzy synthesis control strategy with an ideal 2-DOF linear model and optimization of the control parameters. The control strategy consists of Fuzzy control of two control objectives (yaw velocity ω and sideslip angle β). Fuzzy functions can adjust and control these two objectives and through Matlab Fuzzy control unit & ADAMS multi-body vehicle dynamic model we obtain optimized simulation. The co-simulation scenario is on iced road with a single sine steering angle input and in a high speed. The control parameters are optimized and analyzed by a combined optimization algorithm (Genetic Algorithm (GA) and Nonlinear Programming Quadratic Line search (NLPQL) method) combined with response surface model (RSM). The simulation results show that the handling stability and safety of the vehicle can be enhanced by the Fuzzy control method that can adapt complex road and driving conditions.


2011 ◽  
Vol 311-313 ◽  
pp. 1182-1185
Author(s):  
Jie Li ◽  
Ai Hua Zhu ◽  
Heng Zeng ◽  
Jun Peng Li

In order to improve the road-friendliness of vehicle, this paper studies vehicle dynamic performance through establishing car model in ADAMS, hybrid control strategy in SIMULINK and the use of joint simulation technology. By using dynamic load coefficient and the road-friendliness index of dynamic load stress factor evaluate the road-friendliness of the semi-active suspension system with hybrid control strategy. The research shows that the road-friendliness will be better when the damping force distribution coefficient for 0.2 ~ 0.6.


Author(s):  
J Yi ◽  
X-L Wang ◽  
Y-J Hu ◽  
C-G Li

Based on a human-vehicle-road closed-loop system of vehicle steering parameter, road surface status, and driver manipulating information, the primary principle of fuzzy intelligent shift control of a tracked vehicle is proposed and the simulation model of a drivetrain is established to adapt the automatic transmission to the complex driving conditions of a tracked vehicle. Using the fuzzy control theory, an intelligent fuzzy shift control system composed of a basic fuzzy shift strategy and a fuzzy modification module is developed to improve the dynamic characteristics and cross-country manoeuvrability. The simulation result shows that the fuzzy shift strategy can improve the shift quality of a tracked vehicle under manifold driving conditions and avoid shift cycling effectively, therefore proving that the intelligent fuzzy shift strategies are better.


Author(s):  
Xiangyu Dong ◽  
Junqiang Xi ◽  
Huiyan Chen

The research is based on single-axis parallel hybrid electric vehicle (PHEV) equipped with AMT (Automatic mechanical transmission). Dynamics model of shift process is established based on the shift control strategy without disengaging the clutch. This paper analyses the active synchronization and shift process. On this basis, the control strategy model of shifting without synchronizer and vehicle model are established respectively by using MATLAB and Cruise. Through the union simulation and analysis of the simulation data, it validates that the control strategy of shifting without synchronizer is feasible.


Author(s):  
Khaled E. Zaazaa ◽  
Brian Whitten

In recent decades, there has been a considerable effort in improving railroad vehicle dynamic performance. This involves high operational speed with stable behavior, better curving performance, better ride quality, and increased life of the wheel and rail profiles. To achieve this goal, the use of independently rotating wheels (IRW) is proposed as one potential option. Using IRW either partially or totally decouples the pitch rotation of the two wheels of the “wheelset”, thereby reducing or eliminating the longitudinal creepage and thus wheelset hunting motion. On the other hand, the longitudinal creepage is no longer available to provide steering assistance in curves, and continuous flange contact during curving is expected. However, by judicious choice of wheel profile and careful truck design, the lateral force between wheel and rail during curving can be reduced, decreasing the wear on both the wheel and rail profiles. Therefore, such solution is assumed to achieve higher stable operational speed and improved curving behavior. In this paper, the effect of using IRW on railroad vehicle performance is examined. The equations of motion of a single wheelset model and a suspended wheelset model that use IRW are presented and compared with those for similar models that use a rigid wheelset. Using a newly developed general multibody code, a complete vehicle model that uses IRW is examined and compared with one that uses rigid wheelsets. The effect of the IRW system on vehicle dynamic performance is quantitatively presented. In addition, the ability of the contact formulations used in this multibody code for modeling the IRW system is confirmed.


2016 ◽  
Vol 835 ◽  
pp. 687-692 ◽  
Author(s):  
Lin Yue Zhang ◽  
Yao Fu ◽  
Xing Zhong Li

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.


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