A Fast Method of Identifying Rechargeable Batteries Condition and Defects

• Autorzy: Kuliński K. , Nowrot A.

Identyfikatory

DOI

10.2478/mape-2018-0038

• Języki publikacji: EN

Abstrakty

EN

The paper presents fast method of identifying industrial and general use rechargeable batteries condition and defects exemplary lithium-ion cells. The proposed method is based on measuring a internal battery electrical impedance for selected frequency points and the next the results are compare with reference characteristics. Diagnostic process is performed for a few minutes when the battery is charging or discharging. So far used, the most popular methods require controlled charging and discharging cells to determine approximately of their capacity and need a long time of the diagnostic process (about few hours to over a dozen hours). The new method allows the dramatically reduction of measurement time and in effect reduces financial work costs of service. The paper shows a various setup systems with commonly use RLC impedance bridges were used in the research. The analysis of measurements allowed to determine the specific spectral function, which indicates rechargeable battery condition. Moreover, it is also possible to apply the obtain method to another electrochemical cell type.

Słowa kluczowe

EN

lithium-ion batteries; electrochemical impedance spectroscopy

• Wydawca: STE GROUP ; De Gruyter
• Czasopismo: Multidisciplinary Aspects of Production Engineering
• Rocznik: 2018
• Tom: Vol. 1, Iss. 1
• Strony: 301--305
• Opis fizyczny: Bibliogr. 11 poz., fig.

Twórcy

autor

Kuliński K.

• Silesian University of Technology, Poland

autor

Nowrot A.

• Silesian University of Technology, Poland

Bibliografia

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• 7. Lepage, G., Albernaz, F. O., Perrier, G., Merlin, G. (2012). Characterization of a microbial fuel cell with reticulated carbon foam electrodes. Bioresource Technology, Volume 124, pp. 199–207.
• 8. Kindermann, F. M., Noel, A., Erhard, S. V., Jossen, A. (2015). Long-term equalization in Li-ion batteries due to local state of charge inhomogeneities and their impact on impedance measurements. Electrochimica Acta, 185, pp.107–116.
• 9. Mohanty, D., Hockaday, E., Li, J., Hensley, D. K., Daniel, C., Wood, D. L. (2016). Effect of electrode manufacturing defects on electrochemical performance of lithium-ion batteries: Cognizance of the battery failure source. Journal of Power Sources, 312, pp. 70–79.
• 10. Yokoshima, T., Mukoyama, D., Nakazawa, K., Gima, Y., Isawa, H., Nara, H., Momma, T., Osaka, T. (2015). Application of electrochemical impedance spectroscopy to ferri/ferrocyanide redox couple and lithium-ion battery systems using a square wave as signal input. Electrochimica Acta, 180, pp. 922–928.
• 11. Zhao, Y., Liu, P., Wanga, Z., Zhang, L., Hong, J. (2017). Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods. Applied Energy, 207, pp. 354–362.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).