Open AccessModel-Based Design Workflows for Cyber-Physical Systems Applied to an Electric-Mechanical Coolant Pump
Author(s) -
Gregor Höpfner,
Georg Jacobs,
Thilo Zerwas,
Imke Drave,
Joerg Berroth,
Christian Guist,
Bernhard Rumpe,
Jens Kohl
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1097/1/012004
Subject(s) - systems modeling language , workflow , computer science , cyber physical system , controller (irrigation) , modelica , systems design , systems engineering , control engineering , unified modeling language , simulation , engineering , software , software engineering , database , agronomy , biology , programming language , operating system
Cyber-Physical Systems (CPS) connect mechanics, electrics and electronics as well as software. Considering the interactions between these domains is a major challenge in product development. Model-Based Systems Engineering (MBSE) enables cross-domain system development, based on commonly understood system architectures. However, there is still a gap in using MBSE for development, especially in mechanics. Systematic evaluation of design decisions based on system architecture models is not done. The strong simulation methods predicting physical product behaviour are not well connected to the evolving system architecture. We propose a new approach for connecting simulation and design models in a System Modelling Language (SysML) system model using the example of a combustion engine’s cooling circuit. The electric-mechanical coolant pump is chosen for design. The design processes of the hydrodynamic pump wheel and the volume flow controller are modelled as workflows in SysML. Here, we integrate design models for the pump wheel and the controller into the workflows. Thereby, parameters of the pump wheel and controller are calculated. Design results are automatically transferred to CAD. A workflow is created, testing the cooling circuit’s behaviour against requirements, combining a Simulink control model and a Simcenter Amesim heat transfer model. The approach results in a framework for automated design and test processes.