The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
A Review of Lithium-Ion Battery Fault Diagnostic Algorithms: Current Progress and Future Challenges
Open accessAbstract
The usage of Lithium-ion (Li-ion) batteries has increased significantly in recent years due to their long lifespan, high energy density, high power density, and environmental benefits. However, various internal and external faults can occur during the battery operation, leading to performance issues and potentially serious consequences, such as thermal runaway, fires, or explosion. Fault diagnosis, hence, is an important function in the battery management system (BMS) and is responsible for detecting faults early and providing control actions to minimize fault effects, to ensure the safe and reliable operation of the battery system. This paper provides a comprehensive review of various fault diagnostic algorithms, including model-based and non-model-based methods. The advantages and disadvantages of the reviewed algorithms, as well as some future challenges for Li-ion battery fault diagnosis, are also discussed in this paper.
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Cites
A review on the key issues for lithium-ion battery management in electric vehicles
Lu, L., Han, X., Li, J., Hua, J., & Ouyang, M. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.10.060 · Cited by 4,837
A review of process fault detection and diagnosis
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Temperature effect and thermal impact in lithium-ion batteries: A review
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Materials for lithium-ion battery safety
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Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles
Rahimi-Eichi, H., Ojha, U., Baronti, F., & Chow, M.-Y. (2013) · IEEE Industrial Electronics Magazine · doi:10.1109/mie.2013.2250351 · Cited by 960
A review on battery thermal management in electric vehicle application
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A General Discussion of Li Ion Battery Safety
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Cited by
Tran, M.-K., Mathew, M., Janhunen, S., Panchal, S., Raahemifar, K., Fraser, R., & Fowler, M. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103252 · Cited by 564
Self-citationCunanan, C., Tran, M.-K., Lee, Y., Kwok, S., Leung, V., & Fowler, M. (2021) · Clean Technologies · doi:10.3390/cleantechnol3020028 · Cited by 398
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Metadata
- Authors
- Tran, M.-K., & Fowler, M.
- Venue
- Algorithms
- Publisher
- MDPI AG
- Published
- 2020-03-08
- Volume
- 13
- Issue
- 3
- Pages
- 62
- ISSN
- 1999-4893 (ISSN-L)
- OpenAlex
- W3009569330
- Cited by
- 300
- References
- 79
- FWCI
- 13.22
- Type
- journal article
- Language
- en
- Open access
- gold
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