A survey of modeling languages for automotive digital twins

Abstract The demand for digital twins and suitable modeling techniques in the automotive industry is increasing rapidly. Yet, there is no common understanding of digital twins in automotive, nor are there modeling techniques established to create automotive digital twins. Recent studies on digital twins focus on the analysis of the literature on digital twins for automotive or in general and, thus, neglect the industrial perspective of automotive practitioners. To mitigate this gap between scientific literature and the industrial perspective, we conducted a questionnaire survey among experts in the German automotive industry to identify (i) the desired purposes for and capabilities of digital twins, (ii) the modeling techniques related to engineering and operating digital twins across the phases of automotive development, and (iii) the role informal models play during automotive development. To this end, we contacted 189 members of the Software-Defined Car research project and received 96 responses. The results show that digital twins are considered most useful in the usage and support phase of automotive development, representing vehicles as-operated. Moreover, simulation models, source code, and business process models are currently considered the most important models to be integrated into a digital twin alongside the associated, established tools. Furthermore, informal models are frequently created digitally, e.g., using PowerPoint™, mainly employed for communication and documentation during the conception and development phase.

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Publication Details

Journal
Software & Systems Modeling
Published
2026-08-03
DOI
https://doi.org/10.1007/s10270-026-01410-9
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

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article

A survey of modeling languages for automotive digital twins

Dirk Neumann, Thomas Kühn, Christer Neimöck, Andreas Wortmann et al.
Software & Systems Modeling
Digital Transformation in Industry
article

A survey of modeling languages for automotive digital twins

Dirk Neumann, Thomas Kühn, Christer Neimöck, Andreas Wortmann, Dominik Fuchß, Jérôme Pfeiffer, Anne Koziolek
article en

Abstract

Abstract The demand for digital twins and suitable modeling techniques in the automotive industry is increasing rapidly. Yet, there is no common understanding of digital twins in automotive, nor are there modeling techniques established to create automotive digital twins. Recent studies on digital twins focus on the analysis of the literature on digital twins for automotive or in general and, thus, neglect the industrial perspective of automotive practitioners. To mitigate this gap between scientific literature and the industrial perspective, we conducted a questionnaire survey among experts in the German automotive industry to identify (i) the desired purposes for and capabilities of digital twins, (ii) the modeling techniques related to engineering and operating digital twins across the phases of automotive development, and (iii) the role informal models play during automotive development. To this end, we contacted 189 members of the Software-Defined Car research project and received 96 responses. The results show that digital twins are considered most useful in the usage and support phase of automotive development, representing vehicles as-operated. Moreover, simulation models, source code, and business process models are currently considered the most important models to be integrated into a digital twin alongside the associated, established tools. Furthermore, informal models are frequently created digitally, e.g., using PowerPoint™, mainly employed for communication and documentation during the conception and development phase.

Software & Systems Modeling
University of Stuttgart (DE), Karlsruhe Institute of Technology (DE), Martin Luther University Halle-Wittenberg (DE)
Deutsche Forschungsgemeinschaft, Universität Stuttgart
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Digital Transformation in Industry
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