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Electric Vehicle Fire Risk Assessment Based on WBS-RBS and Fuzzy BN Coupling

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Chen, Jianhong, Li, Kai, Yang, Shan·2022·Mathematics
DOI 10.3390/math10203799
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Abstract

(1) Background: In recent years, electric vehicle fire accidents have occurred frequently. Studying the risk factors leading to electric vehicle fire can take corresponding safety measures to reduce the occurrence of electric vehicle fire accidents. (2) Methods: The Work Breakdown Structure (WBS) was constructed to decompose the electric vehicle system, the Risk Breakdown Structure (RBS) was constructed to decompose the risk of electric vehicle fire accidents, a WBS-RBS coupling matrix was built to identify the risk factors that lead to electric vehicle fire accidents in the electric vehicle system, and the fuzzy Bayesian network was used to evaluate the risk of electric vehicle fire accidents. (3) Results: In this study, the electric vehicle was divided into four systems, and 15 risk factors leading to electric vehicle fire were found. The first risk factor was external collision ignition, followed by battery failure, artificial modification, battery-pack flooding, and charging equipment failure, and safety measures were proposed; (4) Conclusions: The results show that the WBS-RBS and fuzzy BN coupling research method can identify the risk factors leading to an electric vehicle fire, and the risk factors were ranked, providing a reference for the safety protection of electric vehicles.

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Metadata

Authors
Chen, J., Li, K., & Yang, S.
Affiliations
Central South University (CN)
Corresponding author
Yang, Shan
ORCID
Venue
Mathematics
Publisher
MDPI AG
Published
2022-10-14
Volume
10
Issue
20
Pages
3799
ISSN
2227-7390 (ISSN-L)
DOI
10.3390/math10203799
OpenAlex
W4306392237
Cited by
23
References
6
Citations by year
2026: 4 · 2025: 8 · 2024: 8 · 2023: 1 · 2022: 2
FWCI
2.88
Type
journal article
Language
en
Open access
Licence
Locations
  • Mathematics (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation Project of China (52274163)
Topics
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Risk and Safety Analysis
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Evaluation and Optimization Models
  • Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
Keywords
electric vehicle fires, fire risk assessment, risk factors, work breakdown structure, risk breakdown structure, fuzzy Bayesian network, risk factor identification, battery failure, electric vehicle safety

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CoChat. (2026). Citation check: Electric Vehicle Fire Risk Assessment Based on WBS-RBS and Fuzzy BN Coupling. https://app.cochat.ai/papers/10.3390/math10203799
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Chen, J., Li, K., & Yang, S. (2022). Electric Vehicle Fire Risk Assessment Based on WBS-RBS and Fuzzy BN Coupling. Mathematics. https://doi.org/10.3390/math10203799