Dynamic Behavior of a Torque Converter with Centrifugal Bypass Clutch

Tsangarides, M. C.

doi:10.4271/850461

Cited by 29 publications

(5 citation statements)

References 15 publications

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“…A torque converter may act as a fluid coupling or a torque amplification device depending on the operating conditions. Some of the earlier attempts at modeling torque converters include [46,100,65]. [46] developed a 4 th order nonlinear model using bondgraph modeling concepts.…”

Section: Powertrain Modelingmentioning

confidence: 99%

“…A linearization of the nonlinear model developed in [46] is presented by [19]. [100] focused on capturing the dynamics involved during the torque-converter clutch lock-up event. A nonlinear static model for the torque converter was developed by [65].…”

Section: Powertrain Modelingmentioning

confidence: 99%

“…Engine map3.2 Torque Converter ModelThe torque converter plays a critical role in the dynamic performance of automatic transmissions by providing damping and torque amplification at the vehicle's launch and lower gears[51]. Various models have been developed to capture the dynamics of the fluid flow within the torque converter[46,19,100]. However, these dynamic effects are seldom included in the models used for control law design in shift quality control applications because of the emphasis on low frequency aspects of torque converter dynamics, and also due to the additional computational burden posed by these models on the controller.…”

mentioning

confidence: 99%

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Robust nonlinear estimation and control of clutch-to-clutch shifts

Mishra

Srinivasan

2016

2016 American Control Conference (ACC)

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Shift quality is an integral component of drivability. Thus, with the extension of feedback control to more powertrain functions, it is of paramount importance that systematic and robust control methods be developed for ensuring good shift quality. Increasingly, automatic transmissions employ a combination of two actively controlled clutches to implement shifts, which makes the gearshifts clutch-to-clutch shifts. In the current study, a model-based approach is presented for the development of a robust clutch-to-clutch shift controller. A detailed nonlinear model of the powertrain consisting of engine, torque converter, transmission system, and vehicle dynamics is developed. The transmission system consists of mechanical and hydraulic subsystems. While the mechanical subsystem is easier to model, the hydraulic subsystem, commonly referred to as shift hydraulic system, is usually challenging to model due to high dynamic order and significant nonlinearities. Starting from a high order nonlinear model of the shift hydraulic dynamics, developed from first principles in an earlier study, we apply systematic methods to arrive at a lower order control-oriented model, and use it to develop a closed loop clutch pressure controller. Specifically, state-space averaging and singular perturbation techniques were used to achieve this. The reduced order model was validated against experimental measurements.

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Section: Powertrain Modelingmentioning

confidence: 99%

Section: Powertrain Modelingmentioning

confidence: 99%

mentioning

confidence: 99%

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Robust nonlinear estimation and control of clutch-to-clutch shifts

Mishra

Srinivasan

2016

2016 American Control Conference (ACC)

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“…After eliminating h i cv , h i cv and h i cv by using equation (10), the system of equations can be obtained from the transformation of equation (7) with the use of V i int . The following system of equations results:…”

Section: Concept Of Subsystem and Equations Of Motionmentioning

confidence: 99%

Development of a general-purpose program based on the concept of subsystem assembly for the analysis of dynamic characteristics of a power transmission system

Jang

Lim

et al. 2000

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper presents the main algorithms of POTAS-MSM (POwer Transmission Analysis Software for MultiSlipping Mechanism), which are based on the concept of subsystem assembly and the self-determination technique for the system degrees of freedom. This software allows users quickly and easily to model the various and complex con®gurations of power transmission systems and their components. With these dynamic models, the program can be used to evaluate system performances, transient phenomena such as shift, and other dynamic problems. The program has features for eective handling of non-linear models, rapid examination of the various changes in system behaviour caused by design modi®cation, and provision of stable responses to an arbitrary operating condition or control logic. The ability of the developed program is demonstrated through simulations and experiments of a transmission model.

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“…When e ectively utilized, they lead to a reduced development time with improved vehicle performance. The development process of an automatic transmission (AT ) system can bene t from an analytical representation which accurately captures dynamic behaviours [1,2]. A potential application of such a model includes an up-front evaluation of AT shift quality and control strategies.…”

mentioning

confidence: 99%

Application of dynamic band brake model for enhanced drivetrain simulation

Fujii

Tobler

Clausing

et al. 2002

Proceedings of the Institution of Mechanical Engineers, Part D:

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In a modern vehicle design process, analytical tools are widely employed to complement experimental approaches for design evaluation. When effectively utilized, they lead to a reduced development time with improved vehicle performance. The development process of an automatic transmission (AT) system can benefit from an analytical representation which accurately captures AT shifting behaviours. In a typical AT system, friction components such as wet clutches and band brakes are utilized to alter planetary gear configurations for automatic shifting. Thus, an accurate representation of friction component dynamics is critical in predicting AT shifting behaviour. Engagement characteristics of friction components vary widely under different operating conditions. Although the basic engagement physics was identified in the 1970s, it is relatively recently that a predictive, yet computationally efficient model became available. This paper describes the first attempt to utilize a dynamic friction component model in drivetrain simulations. Specifically, a dynamic band brake model is implemented to predict the up-shift behaviour of a four-speed AT system under various operating conditions. Simulation results are qualitatively validated with experimental data obtained from a dynamometer test stand. The dynamic band brake model enhances the shift predictability of a drivetrain model and potentially allows analytical evaluation of shift quality and control strategy.

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Dynamic Behavior of a Torque Converter with Centrifugal Bypass Clutch

Cited by 29 publications

References 15 publications

Robust nonlinear estimation and control of clutch-to-clutch shifts

Robust nonlinear estimation and control of clutch-to-clutch shifts

Development of a general-purpose program based on the concept of subsystem assembly for the analysis of dynamic characteristics of a power transmission system

Application of dynamic band brake model for enhanced drivetrain simulation

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