Middlemiss, L.A., Rennie, A.J.R., Sayers, R. et al. (1 more author) (2020) Characterisation of batteries by electrochemical impedance spectroscopy. In: Cruden, A., (ed.) Energy Reports. 4th Annual CDT Conference in Energy Storage and Its Applications, 09-10 Jul 2019, Southampton, UK. Elsevier , pp. 232-241.
Abstract
In the pursuit of batteries with higher energy density and lower cost, central to advancement of the technology is the ability to prolong cycle life. Techniques are sought which can elucidate information on battery degradation without significantly disrupting the performance of cells. Electrochemical impedance spectroscopy (EIS) offers a non-destructive route to in-situ analysis of the dynamic processes occurring inside a battery. The technique is relatively easy to use, but meaningful data analysis requires assignment of spectroscopic features to battery impedance components. Three-electrode cell configurations afford a way to potentially disentangle the impedance components. This paper examines a number of three-electrode cell designs reported in the literature, and compares their advantages and limitations. EIS results obtained using a novel in-house, three-electrode pouch cell are reported and the results compared with those obtained from conventional two-terminal impedance complex plane plots. In this way, the separate contributions of anodic and cathodic impedances can be assessed.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Batteries; Electrochemical impedance spectroscopy; Three-electrode; Degradation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Materials Science and Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/L016818/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Jun 2020 13:32 |
Last Modified: | 08 Jun 2020 13:32 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.egyr.2020.03.029 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161518 |