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An Innovative Technique for Fault Analysis of Electric Automated Vehicles

Li, Shiqing 1; Frey, Michael ORCID iD icon 1; Gauterin, Frank ORCID iD icon 1
1 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract:

A serious accident might occur as a direct result of a defective component or system, espe-cially at an automated vehicle. The objective of this study is to establish a fault analysis methodology that can effectively improve the reliability of electric and automated vehicles. To achieve this, We proposed a method for identifying potential faults by combining Failure Modes and Effects Analysis
(FMEA) with Fault Tree Analysis (FTA), creating a database of possible (example) faults that maps the causal relationship between causes, symptoms and faults, which enables more thorough fault analysis and serves as the foundation for further study. Using the fault database, we demonstrate a practical application involving fault injection and simulation, which can provide a more intuitive and practical representation of the effects of faults. The methodology is validated with the demonstrator vehicle from the joint project. This approach is scalable and can also be well applied to other electric automated vehicles with similar structure, providing a reliable tool to the system fault analysis for future work.

Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2624-8921
KITopen-ID: 1000178487
Erschienen in Vehicles
Verlag MDPI AG (MDPI AG)
Band 6
Heft 4
Seiten 1995 – 2010
Vorab online veröffentlicht am 26.11.2024
Nachgewiesen in Scopus
Dimensions

Verlagsausgabe §
DOI: 10.5445/IR/1000178487
Veröffentlicht am 30.01.2025
Seitenaufrufe: 13
seit 30.01.2025
Downloads: 9
seit 02.02.2025
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