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MPC-Based Downshift Control of Automated Manual Transmissions

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Abstract

Automated manual transmissions, which usually adopt synchronizers to complete the gear shift process, have many advantageous features. However, the torque interruption and the challenging control objectives during the gear shift process limit its industrial application, especially for the power-on gear downshift. This paper proposes a model predictive control (MPC) method to control the clutch engagement process and effectively shorten the torque interruption, consequently enhancing the gear downshift quality. During the control law deduction, the proposed MPC also accounts for time-domain constraints explicitly. After the control law was deduced, it was validated through simulations under two typical power-on gear downshift working scenarios. Both of the simulation results demonstrate that the controller proposed in this paper can shorten the torque interruption time during power-on gear downshifts while minimizing vehicle jerk for overall satisfactory drivability.

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Abbreviations

\(\omega_{\text{e}}\) :

Engine speed

\(\omega_{\text{c}}\) :

Clutch output speed

\(I_{\text{e}}\) :

Moment of inertia of engine crankshaft

\(I_{\text{v,i}}\) :

Equivalent moment of inertia from the clutch output shaft to the vehicle

\(T_{\text{e}}\) :

Engine output torque

\(T_{\text{c}}\) :

Clutch friction torque

\(T_{\text{v0}}\) :

Converted driving resistance

\(F_{\text{c}}\) :

Clutch engagement force

\(\mu_{d}\) :

Friction coefficient of the clutch

\(R_{\text{c}}\) :

Effective radius of the clutch plates

\(N\) :

Number of the clutch friction surfaces

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Acknowledgements

This work was supported by the National Nature Science Foundation of China (61520106008), China Automobile Industry Innovation and Development Joint Fund (U1664257), and Jilin Province Department of Education “Thirteen Five” scientific and technological research projects (JJKH20170379KJ).

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Authors and Affiliations

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China

    Xin Li, Jidong Lyu, Jinlong Hong, Bingzhao Gao & Hong Chen

  2. Computer College, Jilin Normal University, Siping, China

    Jinghua Zhao

  3. Department of Control Science and Engineering, Jilin University, Changchun, China

    Hong Chen

Authors
  1. Xin Li
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  2. Jidong Lyu
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  3. Jinlong Hong
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  4. Jinghua Zhao
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  5. Bingzhao Gao
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  6. Hong Chen
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Correspondence to Hong Chen.

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Li, X., Lyu, J., Hong, J. et al. MPC-Based Downshift Control of Automated Manual Transmissions. Automot. Innov. 2, 55–63 (2019). https://doi.org/10.1007/s42154-019-00050-8

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  • DOI: https://doi.org/10.1007/s42154-019-00050-8

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