
With the development of the automotive market, the complexity of product portfolios is significantly increasing, while the frequency of market requirement changes is also rising. In this context, automotive OEMs face significant challenges in exploring feasible solutions for the next generation of vehicle development. Model-Based Systems Engineering (MBSE) effectively addresses these challenges by managing product complexity and establishing connections between requirements and solutions. However, an alternative solution often necessitates early verification & validation (V&V) and trade-off analysis across multiple disciplines. Multidisciplinary Design Analysis and Optimization (MDAO) has already been applied in solving such multidisciplinary challenges. MBSE is an effective approach for demonstrating multidisciplinary coupling relationships needed to meet specific requirements. By integrating MBSE with MDAO, it is possible to realize traceability from MDAO elements and results to the corresponding system elements and requirements, and to keep data consistency. This paper discusses a method of semantically linking MBSE and MDAO by establishing a MDAO domain-specific metamodel as a SysML profile. This approach positions MDAO as a viewpoint for vehicle development. MBSE serves as the overarching framework throughout different lifecycle stages, ensuring the consistency of MDAO specification. An instantiation of MDAO metamodel has been established to present a coupled multidisciplinary problem structure.
[SCCO.COMP] Cognitive science/Computer science, [SPI] Engineering Sciences [physics], Model-Based Systems Engineering (MBSE), validation (V&amp, Multidisciplinary Design Analysis and Optimization (MDAO), Metamodel, V), Early verification &amp, SysML
[SCCO.COMP] Cognitive science/Computer science, [SPI] Engineering Sciences [physics], Model-Based Systems Engineering (MBSE), validation (V&amp, Multidisciplinary Design Analysis and Optimization (MDAO), Metamodel, V), Early verification &amp, SysML
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