The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
A review of the state of health for lithium-ion batteries: Research status and suggestions
Abstract
Abstract Lithium-ion batteries (LIBs) have become the mainstream power source for battery electric vehicles (BEVs) with relatively superior performance. However, LIBs experience battery aging and performance degradation due to the external environment and internal factors, which should be reflected in the evaluation of the state of health (SOH). Accurately predicting SOH can improve the overall life of the battery and support safe driving in BEVs. At present, while there are many prediction methods for SOH, most are implemented in simulated environments but are challenging to execute in actual industrial production. This review provides a discussion on the aging reasons for LIBs, introduces the SOH prediction method based on the classification framework, and analyzes the key benefits and drawbacks of each method. Finally, the corresponding suggestions and solutions are given in combination with the actual industrial production.
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Cites
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
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Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
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A review on prognostics and health monitoring of Li-ion battery
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Prognostics in Battery Health Management
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Cited by
Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
Yang, S., Zhang, C., Jiang, J., Zhang, W., Zhang, L., & Wang, Y. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128015 · Cited by 435
Hossain Lipu, M. S., Hannan, M. A., Hussain, A., Ayob, A., Saad, M. H. M., Karim, T. F., & How, D. N. T. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.124110 · Cited by 378
Liu, Y., Wang, L., Li, D., & Wang, K. (2023) · Protection and Control of Modern Power Systems · doi:10.1186/s41601-023-00314-w · Cited by 279
Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Lebrouhi, B. E., Khattari, Y., Lamrani, B., Maaroufi, M., Zeraouli, Y., & Kousksou, T. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103273 · Cited by 276
An overview of data-driven battery health estimation technology for battery management system
Chen, M., Ma, G., Liu, W., Zeng, N., & Luo, X. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.02.031 · Cited by 172
Metadata
- Authors
- Tian, H., Qin, P., Li, K., & Zhao, Z.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 261
- Pages
- 120813
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W3011952957
- Cited by
- 651
- References
- 23
- FWCI
- 30.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tian, H., Qin, P., Li, K., & Zhao, Z. (2020). A review of the state of health for lithium-ion batteries: Research status and suggestions. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.120813
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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