An MBSE Methodology for Cross-Domain Vehicle Performance Development 2024-01-2499

Even if an optimal design is produced in the mid-to-late stages of development, when the maturity of development is increasing, it is already difficult to accept the proposal between the organizations and functions. In case the optimal proposal is made with a small amount of information in the preceding stage, it will be helpful for mutual decision-making. In addition, if all members have a system and development environment that enables access and utilization of necessary data in a timely manner, it is possible to produce quick results through collaboration. To implement such a system and development environment, “digital modeling" of tangible and intangible assets will be essential and to implement an "integrated IT environment" that can access and utilize digital models. Until now, Hyundai Motor Company has not yet fully established a digital development environment that all researchers can simultaneously utilize during the concept development stage. To implement such systems and development environments, we drove this project as a proof of concept (PoC) focusing on vehicle driving performance. We believe this will lay the groundwork for establishing a future Model-Based Systems Engineering (MBSE) platform. This paper proposes Hyundai Motor's new MBSE methodology for vehicle performance development in the early stages of development applied to a driving performance development case study. Model-based collaboration, which is a means of communication in the conceptual design stages, can contribute more to the production of the optimal plan than the later stages following the intermediate stage of development, where the freedom of decision-making between organizations is low. Based on the definition of a common architecture, we propose a parameter linkage between performance, driving performance architecture and performance analysis model linkage, and through these, propose a methodology for collaboration between developers on the platform and present empirical cases.