Modellbasierter mechanischer Konzeptentwurf: Ergebnisse des FAS4M-Projektes

Moeser, Georg; Grundel, Martin; Weilkiens, Tim; Kümpel, Stephan; Kramer, Christoph; Albers, Albert

doi:10.3139/9783446451414.040

Cited by 11 publications

(7 citation statements)

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“…To enhance the challenging applicability of the SysML, for the model-based product development methods FAS4M [15,16], SYSMOD [17], and SPES [18] the domain-specific modeling languages MechML [15,16,19], SYSMOD [20], and SPESML [21] exist. The notation and syntax of these domain-specific modeling languages is defined on the basis of the established SysML resp.…”

Section: State Of Researchmentioning

confidence: 99%

“…With the help of these mechanisms, refinements of UML, such as SysML, can be implemented as profiles in MBSE tools. Domain-specific modeling languages MechML [15,16,19], SYSMOD [20] and SPESML [21] use these mechanisms to further specify SysML resp. UML for the devel-K opment of mechatronic systems and thus make the notation and syntax more comprehensible for the user.…”

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%

Section: State Of Researchmentioning

confidence: 99%

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

Spütz

Jacobs

Zerwas

et al. 2023

Forsch Ingenieurwes

View full text Add to dashboard Cite

show abstract

“…The method specifies the systematic structure of system models and, in particular, the relationships between system elements and subsystems. Several function-oriented, model-based development methods exist, such as SYSMOD [28], FAS4M [29] and motego [6,7,13,25,30,31]. In particular, the MBSE motego method is suitable for the verification of battery systems in different scenarios because it allows for the description of the physical and chemical properties at a parameter level as well as the integration of domain models (such as FE-simulation models) to seamlessly verify the requirements [6,7,13,25,30,31].…”

Section: State Of the Artmentioning

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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“…Thus, the reference model visualizes the two main areas, SOTIF known and unknown, with the purpose to reduce the unknown area with safety consideration. The implementation was done in the tool Cameo Systems Modeler by means of adaptations of the approach "Functional Architectures of Systems for Mechanical Engineers" [20]. Considering functional safety and safety of the intended function standards, the elements and their implementation in MBSE are explained in the next paragraphs.…”

Section: Research Focusmentioning

confidence: 99%

Considering Functional Safety - supporting the development of automated driving vehicles by the use of Model-Based Systems Engineering

Waschle

Wolter

Bause

et al. 2022

2022 17th Annual System of Systems Engineering Conference (SOSE)

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Starting from first electric functions in vehicles like the braking function realized with the anti-lock braking system (ABS), some of today's vehicles have over 100 control units to achieve an increasing amount of functionality. Functions realize multiple use cases and depend on hardware and software components. This multiple domains development leads to an increase in the complexity of the overall development process. In order to cope with this functional complexity in automated vehicles, new methods for validation are necessary.In order to cope with this functional complexity in automated vehicles, new methods for validation are necessary. These new methods need to identify intended and unintended relationships of and within systems and consider safety elements like hazards. In the following contribution, the authors show a new method with an example of distributed test benches for automated trailer transport. The method supports the validation of safety aspects of stakeholder needs through use cases, scenarios, functions and components. Possibilities for automated generation and parameterization of test cases are presented. In order to validate the automated driving functions regarding safety, the IPEK-X-in-the-Loop approach for distributed validation environments is used. Hereby, the automated vehicle systems, as well as the geographically distributed test benches, are considered as System of Systems (SoS). Hence, SoS characteristics are taken into account by validation methods in the context of functional safety.Index Terms-Validation, Model-Based Systems Engineering (MBSE), System of Systems (SoS), Safety of the intended functionality (SOTIF)

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Modellbasierter mechanischer Konzeptentwurf: Ergebnisse des FAS4M-Projektes

Cited by 11 publications

References 0 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

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

Considering Functional Safety - supporting the development of automated driving vehicles by the use of Model-Based Systems Engineering

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