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Probabilistic Approach Using SMP Tool For Systems Safety Of Road Vehicles
KTH, School of Industrial Engineering and Management (ITM), Engineering Design, Mechatronics and Embedded Control Systems. Scania CV AB, Södertälje, Sweden.ORCID iD: 0000-0001-7972-8843
KTH, School of Industrial Engineering and Management (ITM). Scania CV AB, Södertälje, Sweden.ORCID iD: 0000-0001-6667-3783
RISE Res Inst Sweden, Borås, Sweden.
RISE Res Inst Sweden, Borås, Sweden.
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2024 (English)In: Advances In Reliability, Safety And Security, Esrel 2024, Pt 3 / [ed] Kolowrocki, K Dabrowska, E, INST QUALITY ASSURANCE , 2024, p. 87-96Conference paper, Published paper (Refereed)
Abstract [en]

Safety analysis on the level of a complete road vehicle can be an intricate task. Several methods and tools for safety analysis have been developed by the research community. One such tool developed to bridge the gap between research and industry is Semi-Markov Process (SMP) Tool. In this paper, two approaches for safety analysis utilizing SMP Tool are presented. The holistic approach starts out with a quantitative safety target on a vehicle level to then finally argue whether a proposed system design is safe enough. In the segmented approach, the idea is to follow the development steps of industrial standards, while utilizing SMP Tool for specific tasks within the standard. Specifically the standard ISO 26262 will be under most consideration. Both approaches are applied to a case study of a battery management system for an electrified truck. The segmented approach can avoid some difficulties arising when following ISO 26262 conventionally while keeping the advantage that the standard is utilized to find what qualitative tasks should be performed. The holistic approach has an advantage in that it considers the safety from a vehicle perspective. Moreover, all ambiguity issues in ISO 26262 are avoided.

Place, publisher, year, edition, pages
INST QUALITY ASSURANCE , 2024. p. 87-96
Keywords [en]
safety, ISO 26262, probability, SMP Tool, quantitative, road vehicles
National Category
Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-374129ISI: 001542494800009OAI: oai:DiVA.org:kth-374129DiVA, id: diva2:2021708
Conference
34th European Safety and Reliability Conference, JUN 23-27, 2024, Krakow, POLAND
Note

Part of ISBN 978-83-68136-02-9

QC 20251215

Available from: 2025-12-15 Created: 2025-12-15 Last updated: 2025-12-15Bibliographically approved

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Kaalen, StefanNyberg, Mattias

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