Development of a new control strategy for a semi-active differential for a high-performance vehicle

Cheli, Federico; Pedrinelli, M.; Resta, Ferruccio; Travaglio, G.; Zanchetta, M.; Zorzutti, Andrea

doi:10.1080/00423110600870055

Cited by 17 publications

(9 citation statements)

References 5 publications

(2 reference statements)

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“…It is frequently used for the development of vehicle components in various HiL configurations, e.g. [18], as well as in PHiL test beds [19]. Based on the wheel and tire models used in this specific simulation environment, the interface model is the one defined in Section 3.1, along with its governing equations of motion (2) and (3).…”

Section: Implementation On a Powertrain Phil Test Bedmentioning

confidence: 99%

A model-based interfacing concept for accurate power hardware-in-the-loop systems

Jakubek

Luchini

Oberhummer

et al. 2015

Mathematical and Computer Modelling of Dynamical Systems

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This article introduces a novel concept for the interface of power hardware-in-the-loop (PHiL) test systems. In a PHiL system, a real device under test is connected to dynamic simulation models that emulate high power flows running to and from the device under test. The states of these dynamic models are thus used to physically actuate the real hardware component and likewise the states of the latter serve as an external excitation of the dynamic model. Thus, a PHiL system constitutes a complex interaction of dynamic mathematical models and real hardware components. The purpose of PHiL systems is to operate and test the hardware component as closely to its future designated environment as possible. A crucial factor for a highly accurate PHiL system lies in the interface between virtual dynamic simulation and the physical hardware. Accuracy and performance is often impaired by signal communication delays, sensor noise and insufficient performance of test bed control systems. The approach presented in this article reduces unwanted oscillations based on an online receding optimization of specific state variables in the dynamic simulation environment. In addition, the adherence to physical conservation laws is assured. The interface algorithm makes use of an online model which incorporates knowledge about the dynamics in the underlying simulation. The performance of the proposed methodology is demonstrated and discussed by means of a highly dynamic automotive powertrain PHiL test bed in combination with a complex multibody real-time vehicle simulation.

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Section: Implementation On a Powertrain Phil Test Bedmentioning

confidence: 99%

A model-based interfacing concept for accurate power hardware-in-the-loop systems

Jakubek

Luchini

Oberhummer

et al. 2015

Mathematical and Computer Modelling of Dynamical Systems

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“…5.76, [69,70]) which take into account the motions of the carbody, and the shaking and rolling of the wheels, or more complex models which adopt the multibody techniques ( [5,[75][76][77][78]106], Fig. 5.76).…”

Section: ð5:193þmentioning

confidence: 99%

Dynamical Systems Subjected to Force Fields

Cheli

Diana

2015

Advanced Dynamics of Mechanical Systems

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In order to analyse the dynamics of a mechanical system we must address an issue which, in general, is very complex. In fact, there are systems that allow a position of static equilibrium and systems that, in general, do not allow such positions and are, on the contrary, designed to create a certain motion, such as machines in general. As regards systems that allow a position of static equilibrium, we have already examined the class corresponding to dissipative systems where the forms of energy addressed are elastic, gravitational and the dissipative function associated with nonconservative forms arising from hysteresis, friction or, in any case, from dissipation in the elastic elements themselves. In reality, these systems are subject to other force fields in addition to the elastic and gravitational ones: consider, for example, the case where a part, or the whole system, comes into contact with a fluid that exerts actions that depend on the relative motion between fluid and object, actions that are expressed, therefore, as force fields. In the case of a system with two elements that come into contact with each other, these are subject to actions that can again be expressed as a function of relative motion and, therefore, can be defined once more through a force field. An electromagnetic force acting on a part or an entire system can again be defined as a force field. The presence of force fields can alter the static and dynamic behaviour of the actual system in a more or less substantial manner. These cases are referred to as fluid-elastic or aeroelastic or magnetoelastic systems, depending on whether the force field results from a fluid in general, from the action of air or from an electromagnetic field. These force fields can be:Conservative force fields, similar to the elastic force field (conservative by definition), overlap the latter, altering, as we will see later, natural frequencies and

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“…In particular, researchers at the Politecnico di Milano have widely studied the design and control of a SAD gearbox whose complete or partial locking should be regulated by controlling the clamping force of a clutch. [1][2][3] Also, similar effects should be obtained using magneto-rheological (MR) clutches, 4 in which the value of the controlled friction should be adjusted by regulating the nonlinear viscosity of the fluid. In particular, in the work of De Rosa et al there are some recent and widely cited indications concerning the application and the control of an MR clutch applied to a SAD.…”

Section: State Of the Artmentioning

confidence: 99%

“…If A is the equivalent area of the actuator, Q nom has to be higher compared to the minimum theoretical value. In particular, as described by equation (2), in order to maintain a good controllability of the system, a relevant part of the flow, Q ric , has to recirculate through the valve even when the higher speed of the piston is required:…”

Section: State Of the Artmentioning

confidence: 99%

Design and testing of an innovative electro-hydraulic actuator for a semi-active differential

Pulcinelli

Pugi

Vinattieri

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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The performance of semi-active differential systems is deeply influenced by the way in which they are actuated. Conventional semi-active systems are actuated by pressure-controlled hydraulic actuators that, despite their good dynamical behaviour, are relatively inefficient. In this work, the authors propose an innovative controlled hydraulic pump solution that is able to drastically improve the efficiency and to reduce the overall encumbrances, maintaining very high performance in terms of dynamical behaviour and corresponding frequency response. The authors investigate design criteria of the proposed solution, describe a simulation model and validate design and simulation models with experimental data.

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Development of a new control strategy for a semi-active differential for a high-performance vehicle

Cited by 17 publications

References 5 publications

A model-based interfacing concept for accurate power hardware-in-the-loop systems

A model-based interfacing concept for accurate power hardware-in-the-loop systems

Dynamical Systems Subjected to Force Fields

Design and testing of an innovative electro-hydraulic actuator for a semi-active differential

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