Model Signatures for the Integration of Simulation Models into System Models

Zerwas, Thilo; Jacobs, Georg; Kowalski, Julia; Husung, Stephan; Gerhard, Detlef; Rumpe, Bernhard; Zeman, Klaus; Vafaei, Seyedmohammad; König, Florian; Höpfner, Gregor

doi:10.3390/systems10060199

Cited by 16 publications

(20 citation statements)

References 53 publications

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“…On the one hand, there are no language elements for the parametric, executable modeling of the principle solutions as a subset of the solution elements. On the other hand, there are no language elements for the establishment of model networks and their semiautomated execution as shown in [7,9,22].…”

Section: State Of Researchmentioning

confidence: 99%

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Modeling language for the function-oriented development of mechatronic systems with motego

Spütz

Jacobs

Zerwas

et al. 2023

Forsch Ingenieurwes

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As mechatronic products gain in popularity, methods for mastering the complexity of these systems in development become increasingly relevant, such as model-based systems engineering (MBSE). Main pillars of MBSE are method, language and tool. A method specifies procedures in product development. The application of the method is supported by a language and tool as the language specifies a system of symbols with which development artifacts can be represented in a software environment (i.e. tool). Currently, various MBSE methods exist, such as motego. Motego specifies a framework for the function-oriented seamless development of mechatronic systems from requirements to the physical realization down to mechanical and electrical contacts and the description of these via parameters and models. Central element in MBSE is the system model, which connects all relevant development artefacts. The system model is created with a language in a software environment such as Cameo Systems Modeler. In MBSE, the graphical systems modeling language SysML is widely established. The language elements in SysML are very abstract and numerous. As a result, the language is difficult to apply. However, its reasonable applicability is an essential prerequisite for the introduction of the motego methods in industrial practice. This results in the following research need: A specific modeling language for the motego method is needed that supports its reasonable application. Therefore, in this paper a modeling language is presented whose language elements are specifically adapted to the motego method. With the help of this domain specific language, the user is guided through method-compliant modeling.

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Section: State Of Researchmentioning

confidence: 99%

“…5). These explicitly modeled targets can be aligned with the model signatures presented in [22]. By means of the created model networks and the formalized requirements, desired product functionalities can be tested and optimized.…”

mentioning

confidence: 99%

Modeling language for the function-oriented development of mechatronic systems with motego

Spütz

Jacobs

Zerwas

et al. 2023

Forsch Ingenieurwes

Self Cite

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“…Engineering models are used in the development domain to execute virtual product tests such as K Fig. 1 Typical system architecture based on motego [1,31]…”

Section: State Of Researchmentioning

confidence: 99%

Classification of function-oriented solution elements for MBSE

Jagla¹,

Jacobs²,

Spütz³

et al. 2023

Forsch Ingenieurwes

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Many different engineering models are used in the development of technical systems such as the electro-mechanical drive train. The goal of utilising these models is to predict the physical behaviour of the system by virtually testing it. Already existing engineering models have to be identified and reused, to increase the efficiency of the development process. The model-based systems engineering (MBSE) approach motego [1, 2] supports the development of mechanical systems in a holistic and function-oriented manner. The system solution and the solution element are core elements in motego, that realise specific functions. The solution element contains the principle solution and domain models (e.g. engineering models), while the system solution contains solution elements and domain models. The system solution and especially the solution element provides a meaningful structure for organising and reusing models.However, in literature those solution elements are not identified and structured yet. This is also true for the electro-mechanical drive train, which is used as case for this study. It is assumed the solution elements can be identified by analysing the interaction between active surfaces of parts in contact. This contribution proposes a classification procedure for solution elements, which is based on elementary functions and principle solutions as they are elements of established development methods.

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“…Currently, valid model networks in system models (i.e., SystemSolutions or Solu-tionElements) have to be identified manually as well as maintained manually in the case of changes in the product development process, the system model or the domain models. This manual work is time-consuming; error-prone; can only be performed by model experts; and must be repeated when changes regarding specifications, parameters or model signatures occur [14][15][16]23,24]. In order to reduce manual effort, an approach to automating identification and maintenance is needed.…”

Section: Research Needmentioning

confidence: 99%

“…The manual identification of valid model networks is both time-consuming and error-prone [14,15]. To make practical use of virtual testing with MBSE system models, there is a need to efficiently identify valid model networks [16].…”

Section: Introductionmentioning

confidence: 99%

Automated Identification of Valid Model Networks Using Model-Based Systems Engineering

Berges

Spütz

Jacobs

et al. 2022

Systems

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To handle increasing complexity in product development, model-based systems engineering (MBSE) approaches are well suited, in which the technical system is represented in a system model. To efficiently test requirements, domain models are integrated into the system model. For each purpose (e.g., battery lifetime calculation), there are typically several models at several fidelity levels. Since the model signatures (i.e., necessary inputs for the models and their outputs) differ depending on the fidelity level, not all models can be used in any development phase. In addition, due to the different model signatures, not all models can be combined arbitrarily to model networks. Currently, valid model networks in system models must be determined in a time-consuming, manual process. Therefore, this paper presents an approach that automates this task via the implementation of an algorithm that analyzes a system model and the model signatures and automatically returns all valid model networks. When input parameters, models or their signatures change, the algorithm updates automatically, and the user receives the valid model network without any manual effort. The approach is demonstrated with the running example of battery system development.

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Model Signatures for the Integration of Simulation Models into System Models

Cited by 16 publications

References 53 publications

Modeling language for the function-oriented development of mechatronic systems with motego

Modeling language for the function-oriented development of mechatronic systems with motego

Classification of function-oriented solution elements for MBSE

Automated Identification of Valid Model Networks Using Model-Based Systems Engineering

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