Model-Based Systems Engineering for Systems Simulation

Abstract

Model-Based Systems Engineering and early simulation based Validation & Verification are now key enablers for managing the complexity in the development of modern complex systems like Cyber-Physical Systems. Models provide a formal account of system requirements and design decisions. Model simulation enables both design exploration and design versus requirements correctness assessment. Model simulation activities rely on Simulation Systems (i.e. systems that execute the model simulation). System execution environment models play a key role during these activities. Appropriate models must be developed for each kind of analysis conducted during Validation & Verification. More and more often, complex Systems Engineering is conducted in Extended Enterprises and the simulation activities are performed using partial models that must be completed with mock-up models for missing parts of the system. The development of Simulation Systems is thus costly and error prone and would benefit from the same Systems Engineering principles that are applied to the product. We propose a methodology for a seamless integration of the Simulation Systems development in the Products Systems Engineering. This method imports the available elements from the models of the system and its environment, from the Systems Engineering for Product space to a dedicated Systems Engineering for Simulation space. The required mock-up models are then defined in the Systems Engineering for Simulation space. As a result, we target a better management and reuse of the various environment and mock-up models in the various simulation activities during the development of the same product. This proposal is independent both of the actual methods and tools used to model the system and of the simulation environment.

Design of a Customizable Test Bench of an Electric Vehicle Powertrain for Learning Purposes Using Model-Based System Engineering

“…In this paper, we discuss the MBSE grid framework [27], and CESAM Systems Architecting methodology [20,26,28]. It is an architecture and modeling framework developed by CESAMES™, which meets the International Council on Systems Engineering (IN-COSE) standards [29].…”

Cyber-Physical Systems Engineering: An Introduction

“…The article Model-Based Systems Engineering for Systems Simulation [10] (in this issue) propose a methodology for integrating simulation systems development with products systems engineering. This offers a better management and reuse of the various environment and mock-up models during system development.…”

Using the ARCADIA/Capella Systems Engineering Method and Tool to Design Manufacturing Systems—Case Study and Industrial Feedback

“…As shown on the left of Figure 1, the ARCADIA method decomposes the system architecture stage of the V cycle into four steps (corresponding to the Capella 4 levels): operational analysis, system need analysis, logical architecture, and physical architecture. V cycle with a focus on the system architecture layer adapted from [39].…”

“…Among them, the most common consists of following the classical top-down ARCADIA process (see the case study in Section 5.1) from the operational analysis to the physical architecture when designing a new system. Capella also allows performing a bottom-up method for retro- V cycle with a focus on the system architecture layer adapted from [39].…”