Stone, D.A. orcid.org/0000-0002-5770-3917, Foster, M.P. orcid.org/0000-0002-8565-0541, Ballantyne, E.E.F. orcid.org/0000-0003-4665-0941 et al. (1 more author) (2020) A low cost, rapid impedance measurement technique suitable for Li-ion health diagnosis in battery energy storage systems. International Journal of Smart Grid and Clean Energy, 9 (2). pp. 346-356. ISSN 2315-4462
Abstract
Battery energy storage is becoming a vital part of green energy systems. Prediction of the state of health of energy storage systems is difficult as it relies on a number of parameters. Pseudo Random Binary Sequence (PRBS) excitation of energy storage batteries has been shown to be a valid method of battery parameter identification for lead acid batteries [1]. The purpose of this work is to validate PRBS test data from a 3Ah LiFePO4 cell forming part of an EV battery-pack cell against Electrochemical Impedance Spectroscopy (EIS) data obtained from an industry-standard potentiostat (Solartron 1480). PRBS results are obtained in under 200 seconds on easily reproducible equipment which can be built into a green energy battery management system, while the EIS process takes over two hours on prohibitively expensive laboratory equipment. This work validates PRBS as a fast and portable method of obtaining the impedance spectrum of Lithium Ion cells, which can then be used to obtain information about SoH of the BESS.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-No Derivatives License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made. |
Keywords: | Battery impedance measurement; Cell health prediction; BMS |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Funding Information: | Funder Grant number Innovate UK (TSB) 130708 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Mar 2020 14:18 |
Last Modified: | 11 Mar 2020 14:18 |
Published Version: | http://www.ijsgce.com/index.php?m=content&c=index&... |
Status: | Published |
Publisher: | Engineering and Technology Publishing |
Refereed: | Yes |
Identification Number: | 10.12720/sgce.9.2.346-356 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157372 |