Markov Chain-based Reliability Analysis for Automotive Fail-Operational Systems

Features
Event
WCX™ 17: SAE World Congress Experience
Authors Abstract
Content
A main challenge when developing next generation architectures for automated driving ECUs is to guarantee reliable functionality. Today’s fail safe systems will not be able to handle electronic failures due to the missing “mechanical” fallback or the intervening driver. This means, fail operational based on redundancy is an essential part for improving the functional safety, especially in safety-related braking and steering systems. The 2-out-of-2 Diagnostic Fail Safe (2oo2DFS) system is a promising approach to realize redundancy with manageable costs. In this contribution, we evaluate the reliability of this concept for a symmetric and an asymmetric Electronic Power Steering (EPS) ECU. For this, we use a Markov chain model as a typical method for analyzing the reliability and Mean Time To Failure (MTTF) in majority redundancy approaches. As a basis, the failure rates of the used components and the microcontroller are considered. The comparison to a non-redundant system shows a significantly higher reliability and MTTF of the redundant approaches.
Meta TagsDetails
DOI
https://doi.org/10.4271/2017-01-0052
Pages
9
Citation
Kohn, A., Schneider, R., Vilela, A., Dannebaum, U. et al., "Markov Chain-based Reliability Analysis for Automotive Fail-Operational Systems," SAE Int. J. Trans. Safety 5(1):30-38, 2017, https://doi.org/10.4271/2017-01-0052.
Additional Details
Publisher
Published
Mar 28, 2017
Product Code
2017-01-0052
Content Type
Journal Article
Language
English