Gear-Shift Control of a Two-Speed Clutchless Automatic Manual Transmission for Electric Vehicle

• Main Authors: LI,YI-CHE, 李宜哲
• Other Authors: CHEN,BO-CHIUAN
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/57f2t3

碩士 === 國立臺北科技大學 === 車輛工程系 === 107 === Due to the fast and accurate response of the traction motor (TM), active speed synchronization control can be realized by controlling the speed and torque of the TM during the gear shifting process. Therefore, the clutch is no longer needed for the powertrain system. In this thesis, the vehicle longitudinal dynamics model, the powertrain system model and the synchronizer model are established for the electric vehicle equipped with a two-speed Clutchless Automated Manual Transmission (CLAMT). According to the shifting process, the equations of motion for each stage are simulated to analyze the dynamics of the vehicle during gear shift process. Such that the gear shift control strategy can be designed accordingly. The gear shift process can be divided into five processes which are torque release, gear shift to neutral, active speed synchronization, target gear engagement (mechanical synchronization), and torque recovery. A rule-based gear shift control strategy architecture is used in this thesis. Model predictive control (MPC) with the consideration of the TM dynamics is employed to control the TM speed which is during the active speed synchronization phase. Simulation results show that the dynamic response of TM has a significant impact on the jerk during the torque release and torque recovery phase. The response and overshoot of the proposed MPC are faster and smaller than those of the PI controller during the active speed synchronization process. Therefore, the time for active speed synchronization and the jerk for gear engagement are effectively reduced.