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A Low Cost, Rapid Impedance Measurement Technique Suitable for Li-ion Health Diagnosis in Battery Energy Storage Systems

Author(s): D. A. Stone a*, M. P. Foster a, E. E. F. Ballantyneb , H. Pricea

a Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 3JD. UK
b Sheffield University Management School, University of Sheffield, Sheffield, S10 1FL. UK
International Journal of Smart Grid and Clean Energy, vol. 9, no. 2, March 2020: pp. 346-356
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.9.2.346-356
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.
Keywords: Battery impedance measurement; Cell health prediction; BMS
Full Paper.pdf

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution 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.

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