Estimation of torque transmitted by clutch during shifting process for dry dual clutch transmission

Zhao, Zhiguo; Li, He; Yang, Yunyun; Wu, Chaochun; Li, Xueyan; Hedrick, J. Karl

doi:10.1016/j.ymssp.2015.12.027

Cited by 58 publications

(23 citation statements)

References 14 publications

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“…7, is investigated by the MBTEI model and Eqs. (3)(4)(5), meanwhile the maximum pressure growth rate bmax and Vd are listed in Table 3.…”

Section: Results and Analysismentioning

confidence: 99%

“…Pisaturo and Senatore [3] established a finite element model of a dry clutch to simulate the temperature field of friction components during the engagement process. Zhao et al [4] established a 3-D model of a dual clutch and a torque transition model to estimate the transmission torques of two clutches in real time. An integrated clutch filling phase control for gearshifts on wet clutch transmissions for heavy-duty vehicles was developed by Meng et al [5,6], and the clutch actuator was optimally designed with certain constraints.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mechanical Buckling Induced Thermoelastic Instability in Frictional Clutches

Li¹,

Li²,

Ma³

et al. 2017

Proceedings of the 4th International Conference of Fluid Flow, Heat and Mass Transfer (FFHMT'17)

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-A multi-disc clutch test bench was set up and sliding experiments were conducted to investigate the relationship between the friction glazed spot distribution and mechanical torsion buckling on frictional components. The buckling deformation model of a separator disc with spline teeth subjected to mechanical torsion is established to compare with the experimental observation. The buckled spline disc provides a certain perturbation frequency during the sliding period. Under this sliding condition, when the relative sliding rubbing speed in frictional clutches exceeds the thermoelastic instability (TEI) speed predicted by Barber and Lee's TEI model, mechanical buckling induces thermoelastic instability (MBTEI). The dangerous sliding speed and perturbation pressure growth rate are obtained in regard to structural parameters, temperatures, abrasion cracks and torques.

show abstract

“…7, is investigated by the MBTEI model and Eqs. (3)(4)(5), meanwhile the maximum pressure growth rate bmax and Vd are listed in Table 3.…”

Section: Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mechanical Buckling Induced Thermoelastic Instability in Frictional Clutches

Li¹,

Li²,

Ma³

et al. 2017

Proceedings of the 4th International Conference of Fluid Flow, Heat and Mass Transfer (FFHMT'17)

View full text Add to dashboard Cite

show abstract

“…The researchers have studied the transmitting torque estimation of the clutch during the shifting process in terms of smaller vehicles for decades. Zhao et al studied the transmitting torque estimation of the clutch during the shifting process on dry double-clutch transmission [1][2][3]. Pettersson et al studied the output torque of the vehicle drive shaft during the shifting process based on the transmission model with elastic drive shaft [4,5].…”

Section: Introductionmentioning

confidence: 99%

Study on Load Parameters Estimation during AMT Startup

Sun

et al. 2018

Journal of Control Science and Engineering

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The identification problem of the load parameters is the basis of researching the clutch control strategy and the shift schedule for heavy-duty AMT (Automated Mechanical Transmission). AMT is proposed as the soft starter for the belt conveyor which expands AMT application areas. In order to accomplish the goal of AMT as the soft starter, the load parameters estimation methods including the load resistance torque and the load inertia are firstly studied to accommodate the actual control for AMT startup as the soft starter for belt conveyor. In the paper, the estimation models of the load resistance torque and the load inertia are established during AMT startup for belt conveyor. On the basis of the recursion least squares method, the on-line estimations for the load parameters are recognized according to the test data during AMT startup. The estimation results of these two parameters prove that the load parameters estimation models and the estimation methods during AMT startup are valid.

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“…7 Another reason is the nonlinear load-deflection characteristics of the diaphragm spring. 13,14 However, these control algorithms are not sufficient to avoid the vehicle jerk due to the discontinuous slip-stick transition. Moreover, the nonlinear varying characteristics of electromechanical actuator components also affect the tracking precision.…”

Section: Introductionmentioning

confidence: 99%

“…9 Therefore, many literature studies have proposed algorithms for the position control of the electromechanical clutch actuator [9][10][11][12] and clutch torque observers. 13,14 However, these control algorithms are not sufficient to avoid the vehicle jerk due to the discontinuous slip-stick transition.…”

Section: Introductionmentioning

confidence: 99%

Output‐feedback model‐reference adaptive calibration for map‐based anti‐jerk control of electromechanical automotive clutches

Huang

Wong

Zhao

et al. 2017

Adaptive Control & Signal

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It is well known that the map-based control can reduce the computational burden of the automotive on-board controller. This paper proposes an output-feedback model-reference adaptive control algorithm to calibrate the map-based anti-jerk controller for electromechanical clutch engagement. The algorithm can be used to adaptively construct a data-driven fuzzy rule base without resorting to manual tuning, so that it can overcome the problem of conventional knowledge-based fuzzy logic design, which involves strenuous parameter-tuning work in the construction of calibration maps. To accurately define the consequent of each fuzzy rule for anti-jerk control, an output feedback law for computing the reference trajectory of clutch engagement is developed to eliminate the discontinuous slip-stick transition, whereas an adaptive controller is designed to track the reference trajectory and compensate the nonlinearity. The convergence of the proposed output-feedback model-reference adaptive control algorithm is analyzed. Simulation results indicate that the proposed method can successfully reduce the excessive vehicle jerk and frictional energy dissipation during clutch engagement as compared with the conventional knowledge-based fuzzy logic controller without fine tuning.

show abstract

Estimation of torque transmitted by clutch during shifting process for dry dual clutch transmission

Cited by 58 publications

References 14 publications

Mechanical Buckling Induced Thermoelastic Instability in Frictional Clutches

Mechanical Buckling Induced Thermoelastic Instability in Frictional Clutches

Study on Load Parameters Estimation during AMT Startup

Output‐feedback model‐reference adaptive calibration for map‐based anti‐jerk control of electromechanical automotive clutches

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