Classification of design parameters with system modeling and simulation techniques

System modeling and simulation techniques are crucial in model-based development of complex engineered systems. However, use of these techniques in system architecting, where the desired architecture is widely explored to meet given function requirements, has not been sufficiently investigated. In this paper, such tools are used as computational supports for system architecting. The methodology enables systematic search and visualization of local design parameters and system architecture across various engineering domains. The design parameters are classified according to their engineering domains, topological relations, and numerical similarities. The methodology is applied to the system architecting of an electric vehicle.