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Research Papers

Engagement Control of Automated Clutch for Vehicle Launching Considering the Instantaneous Changes of Driver's Intention

[+] Author and Article Information
Liang Li

The State Key Laboratory of
Automotive Safety and Energy,
Tsinghua University,
Beijing 100084, China;
The Collaborative Innovation Center of
Electric Vehicles in Beijing,
Beijing Institute of Technology,
Beijing 100081, China
e-mail: liangl@mail.tsinghua.edu.cn

Zaobei Zhu

School of Engineering and Technology,
China University of Geosciences (Beijing);
The State Key Laboratory of
Automotive Safety and Energy,
Tsinghua University,
Beijing 100084, China
e-mail: zhuzaobei@163.com

Yong Chen

Chongqing Changan Automobile Co., Ltd.,
Chongqing 400020, China
e-mail: chenyong1@changan.com.cn

Kai He

The State Key Laboratory of
Automotive Safety and Energy,
Tsinghua University,
Beijing 100084, China
e-mail: hek15@mails.tsinghua.edu.cn

Xujian Li

The State Key Laboratory of
Automotive Safety and Energy,
Tsinghua University,
Beijing 100084, China
e-mail: lixj14@mails.tsinghua.edu.cn

Xiangyu Wang

The State Key Laboratory of
Automotive Safety and Energy,
Tsinghua University,
Beijing 100084, China
e-mail: wang-xy15@mails.tsinghua.edu.cn

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received April 6, 2016; final manuscript received September 21, 2016; published online November 11, 2016. Assoc. Editor: Shankar Coimbatore Subramanian.

J. Dyn. Sys., Meas., Control 139(2), 021011 (Nov 11, 2016) (12 pages) Paper No: DS-16-1174; doi: 10.1115/1.4034841 History: Received April 06, 2016; Revised September 21, 2016

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.

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References

Figures

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Fig. 1

Block diagram of the optimal process

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Fig. 2

Test vehicle and apparatus

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Fig. 3

Accelerator-pedal opening during single intention

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Fig. 4

Accelerator-pedal opening with intention variation

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Fig. 6

AMT driveline scheme

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Fig. 7

Test bench of dry clutch system

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Fig. 8

The relationship between the input torque of actuator and release bearing displacement

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Fig. 9

The complete disengagement process of clutch

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Fig. 10

The complete engagement process of clutch

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Fig. 11

The relationship between clutch transmitted torque and clutch position

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Fig. 12

Simulation model of vehicle powertrain

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Fig. 13

Simulation result (slow launching intention switching to fast intention)

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Fig. 14

Simulation results: (a) fast launching intention switching to slow intention, (b) slow launching intention switching to medium intention, and (c) medium launching intention switching to slow intention

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Fig. 15

Simulation result for clutch disengaged conversely: (a) fast launching intention switching to slow intention and (b) medium launching intention switching to slow intention

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Fig. 16

Desired trajectories of clutch position

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Fig. 17

Motor output torque

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Fig. 18

Simulation result of control tracking: (a) slow launching intention switching to fast intention, (b) fast launching intention switching to slow intention, (c) slow launching intention switching to medium intention, and (d) medium launching intention switching to slow intention

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Fig. 19

Test bench of automatic clutch system

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Fig. 20

Test results of clutch control: (a) slow launching intention switching to fast intention, (b) fast launching intention switching to slow intention, (c) slow launching intention switching to medium intention, and (d) medium launching intention switching to slow intention

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