Conference Program
SDV on the Enterprise-level
16:00-16:30: Virtual Test in Practical Application
Felix Strauß (Bertrandt)
The trend towards software-defined vehicles (SDV) is increasingly increasing the complexity of the software in the vehicle. On the one hand, this makes the usual linear validation and integration processes more difficult. On the other hand, the increase in complexity can hardly be controlled by using hardware-based test platforms. Further hardware scaling seems unrealistic and uneconomical as complexity increases. Virtual testing using virtual ECUs in particular offers a remedy here. It should be emphasized that virtual testing means much more than classic software-in-the-loop testing (SiL). Rather, a very realistic image of control units can be created by integrating basic software and, if necessary, additional chip emulation. Various integration levels of virtual control units offer holistic validation of vehicle software. Each level offers both opportunities and corresponding limitations. These must be known and evaluated accordingly in order to be able to set up a digital validation process. The main focus must be on a holistic integration process.
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16:30-17:00: Harnessing Engineering Data for Scalable SDV Development
Benjamin Schrempf (KPMG)
In the era of Software-Defined Vehicles (SDVs), the ability to manage and utilize engineering data effectively is a cornerstone of successful algorithm development and scalability. This presentation explores how a data organization serves as the foundation for creating SDV algorithms capable of addressing the complexity of vehicle variants.
SDVs demand robust data management strategies to move beyond isolated proofs of concept and enable scalable, variant-aware solutions. A central data governance organization provides the framework for consistent data policies, standards, and procedures, ensuring high-quality and integrated data across domains. This approach minimizes silos, enhances data security, and ensures compliance with regulations while supporting the iterative and dynamic nature of SDV development.
The presentation delves into the critical role of data integration and quality in enabling informed decisions, seamless cross-domain functionality, and effective algorithmic development. It also highlights practical examples of how centralized data governance accelerates SDV innovation, from simulation-driven development to real-world deployment.
Aimed at engineers, data strategists, and decision-makers in the automotive industry, this talk provides actionable insights and best practices for leveraging centralized data governance to achieve scalable, variant-compatible SDV development.
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Felix Strauß is working as Lead Expert at Bertrandt Group and is responsible for all X-in-the-Loop related technologies. With 10 years of experience in hard- and software-testing in HiL/SiL-environments for OEM customers he is aware of the challenges the automotive industry is recently facing. For the past five years he has been pushing the evolution of virtual testing activities beyond the well-established SiL-environments that mostly consider application software. His main focus is the virtualization of control units, building cloud-based test frameworks as we as establishing new test processes that worthy the possibilities of the virtual ecu. Felix is equipped with a M.Sc. in Electrical Engineering and Information Technology from the Karlsruhe Institute of technology (KIT).
Benjamin Schrempf is a Senior Manger at KPMG Consulting where his focus is on Data Management and Digital Twins. He helps his clients designing and implementing data strategies and data governance organizations for realizing the data driven company. He holds a PhD from University College Dublin in Complex Systems and Computational Social Sciences.
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