FKFS Veranstaltungen

2025 Stuttgart International Symposium
on Automotive and Engine Technology

3. - 4. Juli 2025

Session: Poster |

A Digital Machine-Executable V-Model for a Formula Student Racing Car

Julian Borowski, IILS Ingenieurgesellschaft für Intelligente Lösungen und Systeme mbH

Systems engineering and the design of complex systems is usually characterized by islands of knowledge, data silos and the fragmentation of software and processes. One of the reasons for this is that the flow of information in the design of complex systems is distributed across many disciplines, companies and systems with subsystems. As a result, a robust, smooth and efficient exchange of data between different software tools is very often difficult, if not impossible. This paper shows how the desired digital consistency data, the digital continuity of processes and the digital interoperability of all the engineering and manufacturing information along the product life cycle (PLC) can be guaranteed with the help of so-called graph-based design languages and an associated design compiler. For this purpose, abstract ontologies are used in graph-based design languages, which serve as a thesaurus and can be translated into executable simulation models by an associated design compiler. This enables the digital implementation of a machine-executable V-model of Model-Based Systems Engineering (MBSE). The underlying theory, the machine-executable V-model and its digital implementation are demonstrated and explained in detail showing the fully automated design process of the Anti-Roll bar system and the electric energy storage based on the 2023 Formula Student race car of the Formula Student Team Weingarten (RWU).