Self-adaptive optimal control of dry dual clutch transmission (DCT) during starting process

Zhao, Zhiguo; Li, He; Zheng, Zhengxing; Yang, Yunyun; Wu, Chaochun

doi:10.1016/j.ymssp.2015.06.012

Cited by 31 publications

(11 citation statements)

References 17 publications

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“…An adaptive system not only continuously monitors its own performance in relation to a given optimal condition but also modifies its own control parameters in a closed loop so as to approach the optimized performance. It has been experimentally demonstrated that clutch adaptive control strategies for the dry DCT not only reduce the level of jerk and frictional energy loss but also satisfy different starting intentions of the driver [113]. Kim [114] proposed an advanced shift controller that supervises the shift transients with adaptive compensation.…”

Section: Shifting Strategy and Control Technologymentioning

confidence: 99%

Progress in Automotive Transmission Technology

Dong

Liu

et al. 2018

Automot. Innov.

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Much progress has been made in the development of automotive transmissions over the past 20 years, e.g., an increased speed number, expanded ratio spread and improved efficiency and shift quality. Automotive transmissions are moving toward electrification in response to stringent legislation on emissions and the pressing demand for better fuel economy. This paper reviews progress in automotive transmission technology. Assisted by computer-aided programs, new transmission schemes are constantly being developed. We therefore first introduce the synthesis of the transmission scheme and parameter optimization. We then discuss the progress in the transmission technology of a conventional internal combustion engine vehicle in terms of new layouts; improved efficiency; noise, vibration and harshness technology; and the shifting strategy and control technology. As the major development trend, transmission electrification is subsequently discussed; this discussion includes the configuration design, energy management strategy, hybrid mode shifting control, single-speed and multi-speed electric vehicle transmission and distributed electric drive. Finally, a summary and outlook are presented for conventional automotive transmissions, hybrid transmissions and electric vehicle transmissions.

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Section: Shifting Strategy and Control Technologymentioning

confidence: 99%

Progress in Automotive Transmission Technology

Dong

Liu

et al. 2018

Automot. Innov.

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“…Yang et al [21] presented a multiplemodel predictive controller (mMPC) applied to an automated manual transmission vehicle, which improves vehicle drivability during the vehicle start-up phase. Zhao et al [22] studied the identification of the driver's launching intentions, which may change anytime, and proposed a clutch engagement sliding mode control method for vehicle launching. Pisaturo and Senatore [23] developed an optimal launching-intention-aware control strategy for clutch engagement.…”

Section: Introductionmentioning

confidence: 99%

Two-Layer Structure Control of an Automatic Mechanical Transmission Clutch During Hill Start for Heavy-Duty Vehicles

Wang

et al. 2020

IEEE Access

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The engagement control of an automatic mechanical transmission (AMT) clutch during the hill start of a heavy-duty vehicle has a significant impact on the comfort, safety and service life of the vehicle. However, the control effect of a traditional control strategy can be easily affected by interference (clutch wear, temperature). Therefore, this paper proposes a two-layer structure control strategy based on an AMT clutch automatic actuator with the clutch engagement speed as the control target. First, the clutch automatic actuator is designed and the governing characteristics of the diesel engine and the control characteristics of the solenoid valve are studied. Second, a logic threshold control method and PID control method are adopted in the proposed two-layer structure control method. Moreover, the robustness of the proposed control algorithm is validated by a co-simulation platform (TruckSim, MATLAB/Simulink). Finally, experimental research under different slopes (13% and 22%) is carried out to verify the simulation results. The experimental results prove that compared with a single-layer control strategy, the two-layer control strategy proposed in this paper can shorten the start time by more than 10%, and reduce the vehicle start-up jerking by approximately 20%, which significantly improves the performance of the vehicle in the hill start process.

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“…By the back-stepping method, Hu et al 25 developed a model-based nonlinear gearshift controller, and the effectiveness of the designed controller was validated by hardware-in-the-loop simulation results. As for the dry DCT, on the basis of the minimum principle, Zhao et al 26 proposed a self-adaptive optimal control method to obtain the minimum jerk intensity and the minimum friction work.…”

Section: Introductionmentioning

confidence: 99%

Control strategy optimization for a dual-clutch transmission downshift with a single slipping clutch during the torque phase

Liu

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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During the torque phase, appropriate coordination between two clutches is of vital importance to the dual-clutch transmission so that a high-quality shift is achieved without clutch interaction and engine flare, because a poor-quality shift definitely extends the shift time and increases the friction work. Concerning this problem, two different power flow conditions during the torque phase are discussed in detail, after investigation of the dual-clutch transmission downshift process and the design of an H∞ robust controller for the inertia phase. The results obtained indicate that, if two clutches are slipping simultaneously during the torque phase, either power interruption or power circulation occurs. Thus, by optimizing the relationship between the two clutches, a novel control strategy is proposed for the dual-clutch transmission so that the downshift process is accomplished with only one slipping clutch, in order to obtain the highest system efficiency. The system model was established on the MATLAB/Simulink platform and used to study the variations in the torque and the speed output in response to different control strategies. The simulation results show that, with the smooth inertia phase guaranteed by the robust controller, the proposed control strategy not only can avoid power interruption or power circulation during the torque phase but also can shorten the shift time (from 1.1 s to 0.8 s) and reduce the jerk level (from 6.8 m/s3 to 5.7 m/s3) effectively, in comparison with the conventional control strategy. Finally, to validate the effectiveness of the proposed control strategy, bench tests on a dual-clutch transmission were carried out, and the test data obtained show good agreement with the simulation results.

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Self-adaptive optimal control of dry dual clutch transmission (DCT) during starting process

Cited by 31 publications

References 17 publications

Progress in Automotive Transmission Technology

Progress in Automotive Transmission Technology

Two-Layer Structure Control of an Automatic Mechanical Transmission Clutch During Hill Start for Heavy-Duty Vehicles

Control strategy optimization for a dual-clutch transmission downshift with a single slipping clutch during the torque phase

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