The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Understanding Li-based battery materials via electrochemical impedance spectroscopy
Open accessAbstract
Lithium-based batteries are a class of electrochemical energy storage devices where the potentiality of electrochemical impedance spectroscopy (EIS) for understanding the battery charge storage mechanisms is still to be fully exploited. Generally considered as an ancillary technique, the application of EIS should be promoted focusing on improved experimental design of experiments and advanced data analysis using physics-based models. Electrochemical impedance spectroscopy is a key technique for understanding Li-based battery processes. Here, the authors discuss the current state of the art, advantages and challenges of this technique, also giving an outlook for future developments.
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Cites
Electrochemical Impedance Spectroscopy
(2016) · Encyclopedia of Membranes · doi:10.1007/978-3-662-44324-8_100089 · Cited by 1,580
Prospects for lithium-ion batteries and beyond—a 2030 vision
Grey, C. P., & Hall, D. S. (2020) · Nature Communications · doi:10.1038/s41467-020-19991-4 · Cited by 959
Application of electrochemical impedance spectroscopy to commercial Li-ion cells: A review
Meddings, N., Heinrich, M., Overney, F., Lee, J.-S., Ruiz, V., Napolitano, E., Seitz, S., Hinds, G., Raccichini, R., Gaberšček, M., et al. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.228742 · Cited by 885
Self-citationImpedance Spectroscopy: Theory, Experiment, and Applications
(2018) · Wiley eBooks · doi:10.1002/9781119381860 · Cited by 478
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Cited by
Electrochemical Impedance Spectroscopy─A Tutorial
Lazanas, A. C., & Prodromidis, M. I. (2023) · ACS Measurement Science Au · doi:10.1021/acsmeasuresciau.2c00070 · Cited by 3,123
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Battery State of Health Estimate Strategies: From Data Analysis to End-Cloud Collaborative Framework
Yang, K., Zhang, L., Zhang, Z., Yu, H., Wang, W., Ouyang, M., Zhang, C., Sun, Q., Yan, X., Yang, S., et al. (2023) · Batteries · doi:10.3390/batteries9070351 · Cited by 58
Liu, S., Fang, L., Zhao, X., Wang, S., Hu, C., Gu, F., & Ball, A. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.114052 · Cited by 18
Metadata
- Authors
- Gaberšček, M.
- Venue
- Nature Communications
- Published
- 2021-11-11
- Volume
- 12
- Issue
- 1
- Pages
- 6513-6513
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3213509842
- Cited by
- 426
- References
- 13
- FWCI
- 19.96
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
