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Probabilistic Approach Using SMP Tool For Systems Safety Of Road Vehicles
KTH Royal Institute of Technology.ORCID iD: 0000-0001-7972-8843
KTH Royal Institute of Technology.
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability.ORCID iD: 0009-0003-9124-0148
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability.ORCID iD: 0000-0003-4069-6252
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2024 (English)In: Advances in Reliability, Safety and Security, ESREL 2024: Part 3 - Mathematical and Statistical Methods in Reliability, Safety and Security / [ed] Kolowrocki, Dabrowska, Gdynia: Polish Safety and Reliability Association, 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 analysishave been developed by the research community. One such tool developed to bridge the gap between research and industry isSemi-Markov Process (SMP) Tool. In this paper, two approaches for safety analysis utilizing SMP Tool are presented. Theholistic approach starts out with a quantitative safety target on a vehicle level to then finally argue whether a proposed systemdesign is safe enough. In the segmented approach, the idea is to follow the development steps of industrial standards, whileutilizing SMP Tool for specific tasks within the standard. Specifically the standard ISO 26262 will be under mostconsideration. Both approaches are applied to a case study of a battery management system for an electrified truck. Thesegmented approach can avoid some difficulties arising when following ISO 26262 conventionally while keeping theadvantage that the standard is utilized to find what qualitative tasks should be performed. The holistic approach has anadvantage in that it considers the safety from a vehicle perspective. Moreover, all ambiguity issues in ISO 26262 are avoided.

Place, publisher, year, edition, pages
Gdynia: Polish Safety and Reliability Association, 2024. p. 87-96
Keywords [en]
safety, ISO 26262, probability, SMP Tool, quantitative, road vehicles
National Category
Computer and Information Sciences Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-74612ISBN: 978-83-68136-15-9 (print)ISBN: 978-83-68136-02-9 (electronic)OAI: oai:DiVA.org:ri-74612DiVA, id: diva2:1886273
Conference
34th European Safety and Reliability Conference, ESREL 2024
Projects
SafeDim
Funder
Vinnova, 2020-05131Available from: 2024-07-31 Created: 2024-07-31 Last updated: 2024-08-08Bibliographically approved

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Part 3 - Mathematical and Statistical Methods in Reliability, Safety and Security

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Strandberg, TedWarg, Fredrik

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