The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quantifying Mass Transport during Polarization in a Li Ion Battery Electrolyte by in Situ 7Li NMR Imaging
Abstract
Poor mass transport in the electrolyte of Li ion batteries causes large performance losses in high-power applications such as vehicles, and the determination of transport properties under or near operating conditions is therefore important. We demonstrate that in situ (7)Li NMR imaging in a battery electrolyte can directly capture the concentration gradients that arise when current is applied. From these, the salt diffusivity and Li(+) transport number are obtained within an electrochemical transport model. Because of the temporal, spatial, and chemical resolution it can provide, NMR imaging will be a versatile tool for evaluating electrochemical systems and methods.
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Citations
Cites
Simulation and Optimization of the Dual Lithium Ion Insertion Cell
Fuller, T. F., Doyle, M., & Newman, J. (1994) · Journal of The Electrochemical Society · doi:10.1149/1.2054684 · Cited by 2,057
Cited by
Chang, H. J., Ilott, A. J., Trease, N. M., Mohammadi, M., Jerschow, A., & Grey, C. P. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b09385 · Cited by 285
Metadata
- Authors
- Klett, M., Giesecke, M., Nyman, A., Hallberg, F., Lindström, R. W., Lindbergh, G., & Furó, I.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-08-31
- Volume
- 134
- Issue
- 36
- Pages
- 14654-14657
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2034228391
- Cited by
- 183
- References
- 1
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
