Markov Chain-based Reliability Analysis for Automotive Fail-Operational Systems
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.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23275626
-
Supplemental Notes:
- Abstract reprinted with permission of SAE International.
-
Authors:
- Kohn, Andre
- Schneider, Rolf
- Vilela, Antonio
- Dannebaum, Udo
- Herkersdorf, Andreas
-
Conference:
- WCX™ 17: SAE World Congress Experience
- Location: Detroit Michigan, United States
- Date: 2017-4-4 to 2017-4-6
- Publication Date: 2017-3-28
Language
- English
Media Info
- Media Type: Web
- Features: Figures; Photos; References; Tables;
- Pagination: pp 30-38
-
Serial:
- SAE International Journal of Transportation Safety
- Volume: 5
- Issue Number: 1
- Publisher: SAE International
- ISSN: 2327-5626
- EISSN: 2327-5634
- Serial URL: https://www.sae.org/publications/collections/content/e-journal-09/
Subject/Index Terms
- TRT Terms: Automated vehicle control; Automatic braking; Autonomous land vehicles; Driver support systems; Electronic controllers; Intelligent vehicles; Life cycle analysis; Markov chains; Power steering
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01637879
- Record Type: Publication
- Source Agency: SAE International
- Report/Paper Numbers: 2017-01-0052
- Files: TRIS, SAE
- Created Date: Jun 13 2017 9:34AM