Research Challenges for a Future-Proof E/E Architecture - A Project Statement
Stefan Kugele, Vadim Cebotari, Mario Gleirscher, Hashemi, Morteza, Christoph Segler, Sina Shafaei, Hans J. Vogel, Fridolin Bauer, Alois Knoll, Diego Marmsoler, Hans-Ulrich Michel · mediaTUM (Technical University of Munich) · 2017
During the last decades, the functional power and complexity of automotive E/E architectures grew radically and is going to grow further. We identified two key factors namely autonomy and intelligence. Both pose research challenges for the next generation E/E architecture. We aim to tackle the design challenges with methods and technologies. We propose in this project statement to use a service-oriented architecture on top of an in-vehicle communication network based on time-sensitive networking. Moreover, a rigor risk analysis and mitigation approach enables synthesis of a safety controller. A learning architecture facilitates a shift towards user centralization by proactively adapting functions according to user profiles. In addition, further functions might need to be learned at run-time.