Low-Redundancy Realization of Safety-Critical Automotive Functions

Konferenz: MikroSystemTechnik Kongress 2021 - Kongress
08.11.2021 - 10.11.2021 in Stuttgart-Ludwigsburg, Deutschland

Tagungsband: MikroSystemTechnik Kongress 2021

Seiten: 4Sprache: EnglischTyp: PDF

Barner, Simon; Matthes, Stefan (fortiss GmbH, München, Germany)
Dormann, Holger (Elektrobit Automotive GmbH, Erlangen, Germany)
Schingale, Angelika (Vitesco Technologies GmbH, Regensburg, Germany)
Kaulfersch, Eberhard (Fraunhofer ENAS, Chemnitz, Germany)
Eichhorst, Michael; Scheiter, Lutz (Chemnitzer Werkstoffmechanik GmbH, Chemnitz, Germany)
Schmidt, Holger (Infineon Technologies AG, Neubiberg, Germany)
Gebert, Juergen (BMW Group, München, Germany)

We propose a low-redundancy architecture for safety-critical automotive functions that is motivated by the discrepancy of fail-operational requirements of autonomous driving (AD) applications, and the market’s cost pressure. We base on low-overhead monitoring structures for thermomechanical fatigue that generate data to predict the remaining useful lifetime (RUL) for individual elements. It is analysed in a cloud backend by means of a machine-learning model trained with data from accelerated aging tests and finite elements (FE) simulations. We employ model-based engineering to automatically synthesize a reconfiguration strategy that maximizes the remaining system utility by relocating software components from processing elements with impending failures. For evaluation, we consider the reconfiguration of a critical software component, and the integration of the low-redundancy monitoring concept into an electric power steering (EPS).