DOI QR코드

DOI QR Code

An AC Impedance Spectrum Measurement Device for the Battery Module to Predict the Remaining Useful Life of the Lithium-Ion Batteries

리튬배터리의 잔여 유효 수명 추정을 위한 배터리 모듈용 AC 임피던스 스펙트럼 측정장치

  • Lee, Seung-June (Dept. of Electrical Engineering, Soongsil University) ;
  • Farhan, Farooq (Dept. of Electrical Engineering, Soongsil University) ;
  • Khan, Asad (Dept. of Electrical Engineering, Soongsil University) ;
  • Cho, Woo-Jin (Dept. of Electrical Engineering, Soongsil University)
  • Received : 2020.01.22
  • Accepted : 2020.03.19
  • Published : 2020.08.20

Abstract

A growing interest has emerged in recycling used automobile batteries into energy storage systems (ESSs) to prevent their harmful effects to the environment from improper disposal and to recycle such resources. To transform used batteries into ESSs, composing battery modules with similar performance by grading them is crucial. Imbalance among battery modules degrades the performance of an entire system. Thus, the selection of modules with similar performance and remaining life is the first prerequisite in the reuse of used batteries. In this study, we develop an instrument to measure the impedance spectrum of a battery module to predict the useful remaining life of the used battery. The developed hardware and software are used to apply the AC perturbation to the used battery module and measure its impedance spectrum. The developed instrument can measure the impedance spectrum of the battery module from 0.1 Hz to 1 kHz and calculate the equivalent circuit parameters through curve fitting. The performance of the developed instrument is verified by comparing the measured impedance spectra with those obtained by a commercial equipment.

Keywords

References

  1. Global Tech Korea, "Electri vehicle policy trends in europe," In-depth Analysis Report on Global Technology Cooperation Foundation Development Project, 2018.
  2. A. Podias, A. Pfrang, F. D. Persio, A. Kriston, S. Bobba, F. Mathieux, M. Messagie, and L. Boon-Brett, "Sustainability assessment of second use applications of automotive batteries: Ageing of li-ion battery cells in automotive and grid-scale applications," World Electric Vehicle Journal, Vol. 9, No. 2, Jul. 2018.
  3. Navigant Research, "Alternative revenue models for advanced batteries," Guidehouse Insights, May 2016.
  4. J. H. Park and C. G. Lee, "Electric vehicle waste battery management plan," Kyungnam Development Institute, 2018.
  5. B. E. Olivares et al., “Particle-filtering-based prognosis framework for energy storage devices with a statistical characterization of state-of-health regeneration phenomena,” IEEE Trans. Instrum. Meas., Vol. 62, No. 2, pp. 364-376, Feb. 2013. https://doi.org/10.1109/TIM.2012.2215142
  6. J. K. Kim and C. K. Ban, "Policy research for establishing a battery trading market for electric vehicles," Korea Energy Economics Institute, Basic Research Report 2018-16, 2018.
  7. N. Neubauer, K. Smith, E. Wood, and A. Pesaran, "Identifying and overcoming critical barriers to widespread second use of pev batteries, national rnewable energy laboratory," Technical Report NREL/TP-5400-63332, Golden, CO, USA, 2015.
  8. G. Zhao, Reuse and recycling of lithium-ion power batteries, John Wiley & Sons, 2017.
  9. J. Schmitt, A. Maheshwari, M. Heck, S. Lux, and M. Vetter, "Impedance change and capacity fade of lithium nickel manganese cobalt oxide-based batteries during calendar aging," Journal of Power Sources, Vol. 353, pp. 183-194, 2017. https://doi.org/10.1016/j.jpowsour.2017.03.090
  10. P. G. Balakrishnan, R. Ramesh, and T. Prem Kumar, “Ageing mechanisms in lithium-ion batteries,” Journal of Power Sources, Vol. 155, No. 2, pp. 401-414, 2006. https://doi.org/10.1016/j.jpowsour.2005.12.002
  11. NF Coperation, "Frequency response analyzer FRA5097 specification," 2010. [Online]. Available: http://www.nfcorp.co.jp/support/manual/pdf/fra5097_mnl.pdf.
  12. Solatron Analytical, "1250 frequency response analyzer operating manual," [Online]. Available: http://www.sunnytek.net/english/admin/xiazaifiles/201061115923542.pdf.
  13. Metrohm Autolab B.V. "Instruments for electrochemical research," 2011. [Online]. Available: https://nano.tbzmed.ac.ir/Uploads/User/40/Instruction,%20guidelines%20and%20protocols%20of%20facilities/metrohm_autolab-series_an alyzer_datasheet.pdf.
  14. N. Akihiro, "From 1 hour to just 10 Seconds: Using th e low-frequency AC-IR method as a quicker and more stable alternative to DC-IR testing of lithium ion batter ies," 2015. [Online]. Available: https://www.hioki.com/en /information/detail/?id=298.
  15. A. Lasia, "Electrochemical impedance spectroscopy and its applications, modern aspects of electrochemistry," Universidade Federal do Ceara (UFC), Vol. 32, pp. 143-248, 1999.
  16. J. H. Lee and W. J. Choi, “Development of low-cost impedance spectroscopy system for modeling electrochemical power equipment,” The Transactions of the Korean Institute of Power Electronics, Vol. 13, No. 1, pp. 46-54, 2008.
  17. Y. Barsukov, J. R. Macdonald, Y. Barsukov, and J. R. Macdonald, Electrochemical impedance spectroscopy, John Wiley & Sons, Inc., Oct. 2012,
  18. W. Waag, S. Käbitz, and D. U. Sauer, "Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application," Applied Energy, Vol. 102, pp. 885-897, Apr. 2013. https://doi.org/10.1016/j.apenergy.2012.09.030
  19. A. Maheshwari, M. Heck, and M. Santarelli, "Cycle aging studies of lithium nickel manganese cobalt oxide-based batteries using electrochemical impedance spectroscopy," Electrochimica Acta, Vol. 273, pp. 335- 348, 2018. https://doi.org/10.1016/j.electacta.2018.04.045
  20. J. B. Jorcin, M. E. Orazem, N. Pébère, and B. Tribollet, “CPE analysis by local electrochemical impedance spectroscopy,” Electrochimica Acta, Vol. 51, No. 8/9, pp. 1473-1479, 2006. https://doi.org/10.1016/j.electacta.2005.02.128
  21. Scribner Associates Incorporated, Zview operating manual version 3.5, 2016. [Online]. Available: http://www.scribner.com/software/68-general-electrochemistr376-zview-for-windows/
  22. S. Buller, Impedance-based simulation models for energy storage devices in advanced automotive power systems, Shaker Verlag, 2003
  23. J. W. Lee and W. B. Kim, “Research trend of electrode materials for lithium rechargeable batteries,” J. Korean Powder Metall. Inst., Vol. 21, No. 6, pp. 473-479, Dec. 2014. https://doi.org/10.4150/KPMI.2014.21.6.473
  24. M. Oldenburger, B. Bedurftig, A. Gruhle, F. Grimsmann, E. Richter, R. Findeisen, and A. Hintennach, "Investigation of the low frequency warburg impedance of li-ion cells by frequency domain measurements," Journal of Energy Storage, Vol. 21, pp. 272-280. Feb. 2019. https://doi.org/10.1016/j.est.2018.11.029
  25. A. Maheshwari, M. Heck, and M. Santarelli, "Cycle aging studies of lithium nickel manganese cobalt oxide-based batteries using electrochemical impedance spectroscopy," Electrochimica Acta, Vol. 273, pp. 335- 348, 2018. https://doi.org/10.1016/j.electacta.2018.04.045
  26. Bio-Logic Science Instruments, "EIS measurements: Potentio (PEIS) or Galvano (GEIS) mode, that is the question," Nov. 2013. [Online]. Available: https://www.biologic.net/documents/potentio-or-galvano-eis-electrochemistry-battery-application-note-49/.
  27. Apex Microtechnology, "AN13 voltage to current conversion," Aug. 2013. [Online]. Available: https://www.apexanalog.com/resources/appnotes/an13u.pdf.
  28. T. T. Nguyen, V. T. Doan, and W. Choi, “Design of a fuel cell power conditioning system for online diagnosis and load leveling,” Journal of Power Electronics, Vol. 16, No. 2, pp. 695-703, Mar. 2016. https://doi.org/10.6113/JPE.2016.16.2.695
  29. J. Masciotti, J. Lasker, and A. Hielscher, “Digital lock-in detection for discriminating multiple modulation frequencies with high accuracy and computational efficiency,” IEEE Trans. Instrum. Meas., Vol. 57, No. 1, pp. 182-189, Jan. 2008. https://doi.org/10.1109/TIM.2007.908604
  30. Q. A. Huang, Y. Shen, Y. Huang, L. Zhang, and J. Zhang, "Impedance characteristics and diagnoses of automotive lithium-ion batteries at 7.5% to 93.0% state of charge," Electrochimica Acta, Vol. 219, pp. 751-765, 2016. https://doi.org/10.1016/j.electacta.2016.09.154
  31. C. Pastor-Fernández, K. Uddin, G. H. Chouchelamane, W. D. Widanage, and J. Marco, "A comparison between electrochemical impedance spectroscopy and incremental capacity-differential voltage as li-ion diagnostic techniques to identify and quantify the effects of degradation modes within battery management systems," Journal of Power Sources, Vol. 360, pp. 301-318, 2017. https://doi.org/10.1016/j.jpowsour.2017.03.042
  32. R. J. Sheppard, B. P. Jordan, and E. H. Grant, “Least squares analysis of complex data with applications to permittivity measurements,” Journal of Physics D: Applied Physics, Vol. 3, No. 11, pp. 1759-1764, 1970. https://doi.org/10.1088/0022-3727/3/11/326
  33. Y. T. Tsai and D. H. Whitmore, “Nonlinear least-squares analyses of complex impedance and admittance data for solid electrolytes,” Solid State Ionics, Vol. 7, No. 2, pp. 129-139, 1982. https://doi.org/10.1016/0167-2738(82)90006-6
  34. M. Naumowicz, A. D. Petelska, and Z. A. Figaszewski, “Impedance analysis of complex formation equilibria in phosphatidylcholine bilayers containing decanoic acid or decylamine,” Cell Biochemistry and Biophysics, Vol. 61, No. 1, pp. 145-155, 2011. https://doi.org/10.1007/s12013-011-9171-y