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Wet dual clutch launching adaptive control considering service time

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Abstract

In this study, an adaptive control strategy named, “front-end optimization + back-end compensation,” is proposed to address the wet dual-clutch transmission start-up problem, while considering the effect of service time on the degradation of friction characteristics. First, the effect of service time on friction characteristics is investigated experimentally. Subsequently, the friction coefficient is estimated using a dual extended Kalman filter, and the optimal motion and control trajectory for the launching process are obtained using the pseudospectral method. Finally, a back-end compensator is designed. The effectiveness of the strategy is verified using the MATLAB/Simulink platform and a vehicle test. The results show that compared with the minimum principle method, the pseudo-spectral method shows less jerk and friction loss with a comparable launching time. The control law is adjusted based on the estimated friction coefficient, which ensures a good start-up. Moreover, the back-end compensator can track the reference trajectory well with parameter perturbation.

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Abbreviations

DCT :

Dual clutch transmission

MPC :

Model predictive control

DEKF :

Dual extended Kalman filter

NLP :

Nonlinear programming

SQP :

Sequential quadratic programming

ADRC :

Active disturbance rejection control

J e :

Inertia moments of the engine

J c :

Inertia moments of the clutch

J m :

Inertia moments of the main shaft

J t :

Inertia moments of the transmission shaft

J o :

Inertia moments of the final differential

J w :

Inertia moments of the wheels

T e :

Engine torque

T c :

Clutch transmitted torque

T load :

Equivalent resistance torque

b e :

Damping coefficient of the engine

b c :

Damping coefficient of the clutch

b t :

Damping coefficient of the transmission shaft

b w :

Damping coefficient of the wheel

k c :

Stiffness coefficient of the clutch

k t :

Stiffness coefficient of the transmission shaft

i g :

Gear ratio

i o :

Final differential ratio

m :

Vehicle mass

r :

Radius of the wheel

f :

Rolling resistance coefficient

i :

Slope

C D :

Aerodynamic force coefficient

A v :

Vehicle area

μ :

Friction coefficient

Z :

Number of friction pairs

p cl :

Pressure per unit area on the friction surface

R c :

Outer radius of friction plate

r c :

Inner radius of friction plate

R a :

Outer radius of piston

r a :

Inner radius of piston

p :

Clutch working pressure

J v :

Equivalent inertia of driven disc

b v :

Equivalent damping coefficient of driven disc

T l :

Resistance torque converted to the clutch output shaft

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Acknowledgments

We gratefully acknowledge the support and contribution from the State Key Lab of Mechanical Transmission, Chongqing University, China. This work was supported by National Natural Science Foundation of China (No.U1764259).

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Authors and Affiliations

  1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China

    Ke Ma, Dongye Sun, Guanlong Sun & Dongyang Wang

  2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400044, China

    Dongye Sun

Authors
  1. Ke Ma
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  2. Dongye Sun
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Corresponding author

Correspondence to Dongye Sun.

Additional information

Ke Ma is a Ph.D. candidate in College of Mechanical and Vehicle Engineering at Chongqing University, China. He received the bachelor’s degree in Mechanical Engineering from Southwest Jiaotong University. His research interests are in the field of vehicle new transmission system design and mechatronics control.

Dongye Sun is a Professor at State Key Laboratory of Mechanical Transmission, Chongqing University, China. He received Ph.D. degree in mechanical engineering from Jilin University, China, in 1996. His research areas of interest include power transmission and integrated control, hybrid powertrain design theory and control methods.

Guanlong Sun is a Ph.D. candidate in Mechanical Engineering at Chongqing University, China. He received the Master’s degree in Mechanical Engineering from Chongqing Jiaotong University. His research interests include configuration design, parameter optimization and control strategy of hybrid electric vehicles.

Dongyang Wang is a Ph.D. candidate in College of Mechanical and Vehicle Engineering at Chongqing University, China. He received the B.S. and M.S. degrees in agricultural engineering from the Henan University of Science and Technology. His main research interests are in the field of dynamic modeling and control of vehicle driveline systems.

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Ma, K., Sun, D., Sun, G. et al. Wet dual clutch launching adaptive control considering service time. J Mech Sci Technol 36, 2759–2773 (2022). https://doi.org/10.1007/s12206-022-0509-8

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  • DOI: https://doi.org/10.1007/s12206-022-0509-8

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