The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review
Open accessAbstract
Lithium-ion batteries (LIBs) are crucial for the large-scale utilization of clean energy. However, because of the complexity and real-time nature of internal reactions, the mechanism of capacity decline in LIBs is still unclear. This has become a bottleneck restricting their promotion and application. Electrochemical impedance spectroscopy (EIS) contains rich electrochemical connotations and significant application prospects, and has attracted widespread attention and research on efficient energy storage systems. Compared to traditional voltage and current data, the state-of-health (SOH) estimation model based on EIS has higher accuracy. This paper categorizes EIS measurement methods based on different principles, introduces the relationship between LIBs aging mechanism and SOH, and compares the advantages of different SOH estimation methods. After a detailed analysis of the latest technologies, a review is given. The insights of this review can deepen the understanding of the relationship between EIS and the aging effect mechanism of LIBs, and promote the development of new energy storage devices and evaluation methods.
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Cites
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Scrosati, B., & Garche, J. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.11.048 · Cited by 5,153
Mathematical Problems in Engineering
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Data-driven prediction of battery cycle life before capacity degradation
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A review of the features and analyses of the solid electrolyte interphase in Li-ion batteries
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“Most degradation mechanisms of LIBs do not correspond to only one region on the impedance curve, and the same region may be affected by multiple degradation mechanisms [27, 62–64].”
BackgroundCommercialization of Lithium Battery Technologies for Electric Vehicles
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Modeling and Applications of Electrochemical Impedance Spectroscopy (EIS) for Lithium-ion Batteries
Choi, W., Shin, H.-C., Kim, J. M., Choi, J.-Y., & Yoon, W.-S. (2020) · Journal of Electrochemical Science and Technology · doi:10.33961/jecst.2019.00528 · Cited by 1,210
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Cited by
State of charge estimation for electric vehicles using random forest
Sulaiman, M. H., & Mustaffa, Z. (2024) · Green Energy and Intelligent Transportation · doi:10.1016/j.geits.2024.100177 · Cited by 102
State of health estimation of lithium-ion battery based on CNN–WNN–WLSTM
Yao, Q., Song, X., & Xie, W. (2024) · Complex & Intelligent Systems · doi:10.1007/s40747-023-01300-3 · Cited by 53
Xing, Q., Zhang, M., Fu, Y., & Wang, K. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.115345 · Cited by 48
Self-citationWong, K. L., Tse, R., Tang, S.-K., & Pau, G. (2024) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2024.3354551 · Cited by 38
Xing, Q., Sun, X., Fu, Y., & Wang, K. (2025) · Ionics · doi:10.1007/s11581-024-05982-8 · Cited by 20
Self-citation
Metadata
- Authors
- Liu, Y., Wang, L., Li, D., & Wang, K.
- Venue
- Protection and Control of Modern Power Systems
- Published
- 2023-08-31
- Volume
- 8
- Issue
- 1
- ISSN
- 2367-0983 (ISSN-L)
- 2367-2617
- OpenAlex
- W4386278285
- Cited by
- 279
- References
- 110
- FWCI
- 20.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Liu, Y., Wang, L., Li, D., & Wang, K. (2023). State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review. Protection and Control of Modern Power Systems. https://doi.org/10.1186/s41601-023-00314-w
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