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 gea...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 predic-tive 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.展开更多
基金supported by the National Nature Science Foundation of China(61520106008)China Automobile Industry Innovation and Development Joint Fund(U1664257)Jilin Province Department of Education“Thirteen Five”scientific and technological research projects(JJKH20170379KJ).
文摘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 predic-tive 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.
