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ECUs are reshaping how connected and autonomous vehicles are designed and validated. The focus is shifting toward creating high-fidelity virtual ECUs that support software-defined vehicle architectures
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new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
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research visit(s) to UKNNL and/or the University of Manchester. Furthermore the TEM-TA146 RECYCLEST and Euratom EURAD-2 STREAM networks are even broader, providing opportunities to collaborate with industry
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. The work includes both theoretical modeling and experimental validation, addressing development of software-defined power electronics, droop control adaptation to weather conditions, integration with