An improved smooth shift strategy for clutch mechanism of heavy tractor semi-trailer automatic transmission

Ouyang, Tiancheng; Lu, Yucai; Li, Shuoyu; Yang, Rui; Xu, Peihang; Chen, Nan

doi:10.1016/j.conengprac.2021.105040

Cited by 14 publications

(7 citation statements)

References 44 publications

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“…There are many indicators available for evaluating the quality of the shifting process, such as shifting time, jerk amplitude, interior noise level, and acceleration characteristics. Previous studies have found that jerk and shifting time play a decisive role in shift quality [33][34][35][36]. The control requirements of this study are fast shift time, low jerk, and smooth output torque at the wheel.…”

Section: B Control Requirementmentioning

confidence: 94%

Shifting Process Optimization of Dedicated Hybrid Transmission

Wei

Huang

et al. 2022

IEEE Access

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The shifting process of a hybrid electric vehicle (HEV) could be implemented by a motor to simplify the control requirement when the clutch is engaged. In order to reduce the vehicle jerk and simplify the clutch control requirement during the shifting process, this paper introduces a 3-speed dedicated hybrid transmission (3DHT) with P1/P3 configuration and a power shift control strategy. A finite-time linear quadratic regulator (LQR) is proposed to smoothly transfer torque and suppress driveline oscillations during the torque transfer process with a maximum jerk of 5.6 m/s 3 . Since the clutch stays engaged, a predictive sliding mode control (SMC) is proposed to track the speed of the sleeve quickly and precisely during the synchronization process, which takes 0.18s and maintains a speed difference of around 1 rpm. Furthermore, a Kalman Filter is utilized to overcome the difficulties associated with side shaft torque measurement and low wheel speed resolution. A simulation is performed in MATLAB/SIMULINK, and the powershift (2nd -> 3rd) is compared with other methods. The comparison indicates that the proposed power shift strategy can reduce the maximum jerk from 14.8 m/s3 to 5.6 m/s3, while the entire shifting process lasts for 0.71s. Therefore, the proposed power shift control strategy effectively improves the shift quality.INDEX TERMS hybrid electric vehicle, power shift, dedicated hybrid transmission, linear quadratic regulator, sliding mode control

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Section: B Control Requirementmentioning

confidence: 94%

Shifting Process Optimization of Dedicated Hybrid Transmission

Wei

Huang

et al. 2022

IEEE Access

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“…A perfect shifting process has no power disturbances, and the transmission energy transfers smoothly between the on-coming clutch and the off-going clutch 15 , 16 . The research and test show that the input torque, speed, oil temperature and some factors that affect the characteristics of the hydraulic system are the main reasons that affect the shifting process 9 , 17 .…”

Section: Shifting Process Analysismentioning

confidence: 99%

Research on shifting process control of automatic transmission

Zou

Wang

Zhong

et al. 2022

Sci Rep

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The shift quality of an automatic transmission directly affects the human-perceived comfort and the durability of the automatic transmission. In general, the inconsistency caused by manufacturing errors, life-cycle changes, or other changes in hydraulic characteristics are the main reason affecting the shift quality, which should be compensated by adaptive control in the shifting process. In this paper, we first provide an in-depth analysis of the relationship between proportional solenoid current, clutch pressure, speed and torque in the shifting process control. Then we propose two efficient adaptive control strategies for the torque phase and inertia phase, respectively. Both algorithms are tested and verified on a riot utility vehicle. The experimental results indicate that the adaptive control strategies proposed in this paper can effectively compensate the engine flare and the clutch tie-up of the torque phase, and keep the inertia phase within a proper time range.

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“…Bécsi 24 designed a parameter varying system for an electromechanical clutch actuator, for which model predictive controller and LPV- position controller were designed. Ouyang et al 25 presented a robust control strategy to realize position tracking, in their control scheme, a feedforward controller designed according to transfer function was used to improve the tracking performance, and feedback controller based on synthesis was designed to enhance robustness and disturbance rejection performance.…”

Section: Introductionmentioning

confidence: 99%

An improved adaptive position tracking strategy for automatic shift actuator with uncertain parameters

Yin,

Wang,

Gao

et al. 2024

Sci Rep

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Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtue of the traditional adaptive control method, an improved strategy based on finite time theory is proposed to further improve the convergence rate as well as the position tracking precision. First, a model of electromechanical clutch actuator system is established by theoretical analysis. Then, an enhanced adaptive controller is designed using finite time idea by introducing power function in the virtual control. And parameter update rate is adopted in the control action. Next, the stability of the control system is proved theoretically. Finally, Matlab simulations and experimental bench test are carried out to exhibit the effectiveness of the presented method. The results show that the satisfactory performance has been achieved with accurate position tracking and fast convergence speed.

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An improved smooth shift strategy for clutch mechanism of heavy tractor semi-trailer automatic transmission

Cited by 14 publications

References 44 publications

Shifting Process Optimization of Dedicated Hybrid Transmission

Shifting Process Optimization of Dedicated Hybrid Transmission

Research on shifting process control of automatic transmission

An improved adaptive position tracking strategy for automatic shift actuator with uncertain parameters

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