Electric drive dimensioning for a hybrid working machine by using virtual prototyping

Montonen, Juho; Montonen, Jan-Henri; Immonen, Paula; Murashko, Kirill; Ponomarev, Pavel; Tuomo,; Lindh, Pia; Laurila, Lasse; Pyrhönen, Juha

doi:10.1109/icelmach.2012.6349986

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…There are two options to use load cycles from an MBD: co-simulation, where the power train is modeled in Simulink and the rest in an MBD simulation, or record load cycle data from an MBD simulator. The communication between the MBD simulator and Simulink is implemented via a TCP/IP connection (Montonen et al, 2012) (Lindh et al, 2014) (Montonen and Lindh, 2014). An interval of 2 ms is used for the communication between Simulink and the MBD simulator, since the MBD model used has limitations for the maximum step time.…”

Section: Wheels Modelmentioning

confidence: 99%

Simulation tool for dimensioning power train of hybrid working machine

Tupitsina¹,

Montonen²,

Alho³

et al. 2021

MIC

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The tightening of emission standards and related regulations leads to the necessity of the hybridization of mobile machines. The working operation profile of non-road machinery differs for diverse application types and often varies on large scale. Since the series production of mobile vehicles is generally relatively limited, their design can be tailored to a specific driving cycle. Therefore, this work aims to introduce a simulation tool, which is flexible for the initial design of a non-road hybrid electric vehicle (HEV) drivetrain when different architectures (series and parallel) and dimension of components are considered. The dimensioning is based on the load cycles, that describe the power of the machine during the operational process. For the ease of the first design, each component is modeled mainly using the data available from manufacturers. Case studies are provided to illustrate the use of the simulation tool, where different options of the dimensioned hybrid powertrain are considered.

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Section: Wheels Modelmentioning

confidence: 99%

Simulation tool for dimensioning power train of hybrid working machine

Tupitsina¹,

Montonen²,

Alho³

et al. 2021

MIC

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“…Co-simulation means that different simulators are used together, as in [11], where a traction control of a hybrid working machine was investigated. Testing of the control requires an actual working machine or a very detailed model with different mechanical components and their mutual interactions.…”

Section: Co-simulationmentioning

confidence: 99%

“…FEM block diagram of the control system of an electric PM motor drive showing the approximate time constants of different parts[11].…”

mentioning

confidence: 99%

Simulation, modeling, and virtual testing of electric-drive-powered mechatronic systems

Lindh

2013

2013 International Conference-Workshop Compatibility and Power Electronics

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This paper discusses the problems that arise when analyzing mechatronic systems that are driven by controlled electrical drives. Both the drive and mechanics contribute to the dynamics including various sources of nonlinearities and timevarying components. The paper discusses various different means of simulating such systems, with a special reference to software-in-loop and hardware-in-loop simulations.A mechatronic system is a combination of mechanical structures, electronics, pneumatics, hydraulics, and sensor technology, also requiring program and control design. Applications from robots and manipulators to vehicles, cranes, and machine tools, to mention but a few, constitute a large variety of different mechatronic combinations. Hence, mechatronics is truly a multidisciplinary field of research and engineering.This paper discusses modeling and simulation aspects of systems that are driven by controllable electric drives or other electric actuators. The dynamic behavior of such systems depends on mechanics, the electric drive, and control.The modeling of such systems as a whole is not straightforward. However, it is important to model the whole system if we wish to capture or fix problems such as oscillation, or if we want to improve the performance of the system or achieve a higher energy efficiency. Oscillations caused by the flexible modes of mechanical structures can be determined by analytical calculations or by the FEM, at least in the case of simple mechanical structures, yet the interactions between mechanics, the electric drive, and its control are hard to solve without treating the system as a whole. The energy efficiency of electrical drives is already high, and continues to increase. However, efficiency improvements tend to be expensive and small in terms of absolute value. Often, by analyzing and optimizing the control of processes where electrical drives are used, a significant efficiency improvement (tens of %) can be achieved, often without any extra investment costs.The question is, which kinds of frequency converter, motor, and mechanics models are adequate for the simulation of such systems. I. PROPERTIES OF MECHATRONIC SYSTEMSObviously, the characteristics of a mechatronic system vary between systems. However, some typical properties can be listed. The first, already recognized, property is the interconnection between components. There are interconnections between parts of the mechanical components, mechanics, and motor drives with their control, but also between other upper controllers such as PLCs in factory applications or the Engine Control Units (ECUs) of vehicles. In addition, the systems are connected with the environment. Examples of mechatronics systems in different environments are vehicle applications in a landscape with hills and different friction conditions, materials that are handled by material handling machines, or wind turbine applications operating in varying wind conditions.Most of the systems include nonlinear behavior to such a degree that pure linear models cannot be...

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“…When considering modeling techniques of this kind, without going into details, one can come to a conclusion that such a model needs a specific tools and models of electric drives, independent of the multi-body system. This co-simulation sometimes utilize Software-In-the-Loop (SIL) [1,4] or Hardware-In-the-Loop simulations (HIL) concept. In the SIL concept, a simulated mechanics is driven by simulated drive including the actual drive control software.…”

Section: Introductionmentioning

confidence: 99%

Dynamic performance of mechanical-level hardware-in-the-loop simulation

Lindh

Montonen

Niemelä

et al. 2014

2014 16th European Conference on Power Electronics and Applications

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This paper discusses dynamic behavior, stability and performance issues of the mechanical-level hardware-in-the-loop (MHIL) simulation. A special interest is in the cases where a real-time multibody mechanics simulator is used to produce load dynamics to HIL hardware. The transfer functions describing the HIL system dynamics are created and presented. The analysis using transfer functions, the simulation results and test results using actual MHIL simulation are presented. The analysis shows that the performance and stability of the device under test cannot be concluded without case by case analysis of HIL-setup as a whole.

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Electric drive dimensioning for a hybrid working machine by using virtual prototyping

Cited by 6 publications

References 11 publications

Simulation tool for dimensioning power train of hybrid working machine

Simulation tool for dimensioning power train of hybrid working machine

Simulation, modeling, and virtual testing of electric-drive-powered mechatronic systems

Dynamic performance of mechanical-level hardware-in-the-loop simulation

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