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

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.

Author(s):  
Liang Li ◽  
Zaobei Zhu ◽  
Yong Chen ◽  
Kai He ◽  
Xujian Li ◽  
...  

Engagement control of automated clutch is essential during launching process for a vehicle equipped with an automated manual transmission (AMT), and instantaneous changes in the driver's launching intention make it more complicated to control the clutch. This paper studies the identification of the driver's launching intentions, which may change anytime, and proposes a clutch engagement control method for vehicle launching. First, a launching-intention-aware machine (LIAM) based on artificial neural network (ANN) is designed for real-time tracking and identifying the driver's launching intentions. Second, the optimal engagement strategy for different launching intentions is deduced based on the linear quadratic regulator (LQR), which figures out a compromise between friction loss, vehicle shock, engine speed, clutch speed, and desired vehicle speed. Third, the relationship between transmitted torque and clutch position is obtained by experiments, and a sliding-mode controller (SMC) is designed for clutch engagement. Finally, the clutch engagement control strategy is validated by a joint simulation model and an experiment bench. The results show that the control strategy reflects the driver's launching intentions correctly and improves the performance of vehicle launching.


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.


2020 ◽  
Vol 10 (8) ◽  
pp. 2930 ◽  
Author(s):  
Wan-Soo Kim ◽  
Yong-Joo Kim ◽  
Yeon-Soo Kim ◽  
Seung-Yun Baek ◽  
Seung-Min Baek ◽  
...  

This study aims to develop and evaluate an automated manual transmission (AMT) for agricultural tractors with high efficiency and high convenience by using electric actuators. An AMT system to control manual-type shuttle gearboxes and transmissions for tractors is developed by adding a shuttle shifting actuator, a clutch actuator, and a control system to a conventional manual transmission (MT). The clutch actuator is designed using an electric motor and a reduction gear. The AMT control system is developed and experimental tests are conducted to evaluate the performance of the AMT. The results of the performance of the actuator position control demonstrate that the shuttle shifting actuator and clutch actuator are controlled appropriately, achieving a maximum overshoot of less than 5% and 0%, a settling time of less than 0.500 s and 1.50 s, and a steady-state error of less than 1% and 1%, respectively. The performance of the automatic forward and reverse control demonstrates a shift control time of less than 2.50 s and target revolutions per minute (RPM) reaching time of less than 3.00 s. Thus, AMT systems for tractors can be easily developed by applying shuttle shifting actuators, clutch actuators, and a control system to conventional manual transmissions.


2019 ◽  
Vol 11 (4) ◽  
pp. 168781401984673
Author(s):  
Yulong Lei ◽  
Jianlong Hu ◽  
Yao Fu ◽  
Shaohua Sun ◽  
Xingzhong Li ◽  
...  

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 121-126 ◽  
pp. 3982-3987
Author(s):  
Yong Gang Liu ◽  
Da Tong Qin ◽  
Zhen Zhen Lei ◽  
Rui Ding

This paper focuses on intelligent correction of shift schedule for dual clutch transmissions based on different driving conditions. The problem of standard shift schedule has been presented, and the strategy has also been proposed to avoid shift hunting and unexpected shift. The driver’s intention and driving environment have been unified recognized as different driving conditions. A fuzzy logic technology has been used in driver’s attention recognition based on the throttle opening and its derivative. The standard shift schedule has been intelligently corrected at different driving condition separately. An algorithm based on correction coefficient of throttle opening and vehicle speed is proposed for intelligent correction. The corrected shift schedule can be directly used in real time shift control with suitable correction coefficient.


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