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      리튬배터리의 잔여 유효 수명 추정을 위한 배터리 모듈용 AC 임피던스 스펙트럼 측정장치 = An AC Impedance Spectrum Measurement Device for the Battery Module to Predict the Remaining Useful Life of the Lithium-Ion Batteries

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      https://www.riss.kr/link?id=A106984967

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      다국어 초록 (Multilingual 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.
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      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, c...

      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.

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      참고문헌 (Reference)

      1 이주형, "전기화학적 전력 기기의 모델링을 위한 저가의 임피던스 분광 시스템의 개발" 전력전자학회 13 (13): 46-54, 2008

      2 Scribner Associates Incorporated, "Zview operating manual version 3.5"

      3 A. Podias, "Sustainability assessment of second use applications of automotive batteries: Ageing of li-ion battery cells in automotive and grid-scale applications" 9 (9): 2018

      4 G. Zhao, "Reuse and recycling of lithium-ion power batteries" John Wiley & Sons 2017

      5 J. W. Lee, "Research trend of electrode materials for lithium rechargeable batteries" 21 (21): 473-479, 2014

      6 J. K. Kim, "Policy research for establishing a battery trading market for electric vehicles" Korea Energy Economics Institute 2018

      7 B. E. Olivares, "Particle-filtering-based prognosis framework for energy storage devices with a statistical characterization of state-of-health regeneration phenomena" 62 (62): 364-376, 2013

      8 Y. T. Tsai, "Nonlinear least-squares analyses of complex impedance and admittance data for solid electrolytes" 7 (7): 129-139, 1982

      9 R. J. Sheppard, "Least squares analysis of complex data with applications to permittivity measurements" 3 (3): 1759-1764, 1970

      10 M. Oldenburger, "Investigation of the low frequency warburg impedance of li-ion cells by frequency domain measurements" 21 : 272-280, 2019

      1 이주형, "전기화학적 전력 기기의 모델링을 위한 저가의 임피던스 분광 시스템의 개발" 전력전자학회 13 (13): 46-54, 2008

      2 Scribner Associates Incorporated, "Zview operating manual version 3.5"

      3 A. Podias, "Sustainability assessment of second use applications of automotive batteries: Ageing of li-ion battery cells in automotive and grid-scale applications" 9 (9): 2018

      4 G. Zhao, "Reuse and recycling of lithium-ion power batteries" John Wiley & Sons 2017

      5 J. W. Lee, "Research trend of electrode materials for lithium rechargeable batteries" 21 (21): 473-479, 2014

      6 J. K. Kim, "Policy research for establishing a battery trading market for electric vehicles" Korea Energy Economics Institute 2018

      7 B. E. Olivares, "Particle-filtering-based prognosis framework for energy storage devices with a statistical characterization of state-of-health regeneration phenomena" 62 (62): 364-376, 2013

      8 Y. T. Tsai, "Nonlinear least-squares analyses of complex impedance and admittance data for solid electrolytes" 7 (7): 129-139, 1982

      9 R. J. Sheppard, "Least squares analysis of complex data with applications to permittivity measurements" 3 (3): 1759-1764, 1970

      10 M. Oldenburger, "Investigation of the low frequency warburg impedance of li-ion cells by frequency domain measurements" 21 : 272-280, 2019

      11 Metrohm Autolab B.V., "Instruments for electrochemical research"

      12 S. Buller, "Impedance-based simulation models for energy storage devices in advanced automotive power systems" Shaker Verlag 2003

      13 Q. A. Huang, "Impedance characteristics and diagnoses of automotive lithium-ion batteries at 7.5% to 93.0% state of charge" 219 : 751-765, 2016

      14 J. Schmitt, "Impedance change and capacity fade of lithium nickel manganese cobalt oxide-based batteries during calendar aging" 353 : 183-194, 2017

      15 M. Naumowicz, "Impedance analysis of complex formation equilibria in phosphatidylcholine bilayers containing decanoic acid or decylamine" 61 (61): 145-155, 2011

      16 N. Neubauer, "Identifying and overcoming critical barriers to widespread second use of pev batteries, national rnewable energy laboratory" 2015

      17 N. Akihiro, "From 1 hour to just 10 Seconds: Using the low-frequency AC-IR method as a quicker and more stable alternative to DC-IR testing of lithium ion batteries"

      18 NF Coperation, "Frequency response analyzer FRA5097 specification"

      19 W. Waag, "Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application" 102 : 885-897, 2013

      20 A. Lasia, "Electrochemical impedance spectroscopy and its applications, modern aspects of electrochemistry" 32 : 143-248, 1999

      21 Y. Barsukov, "Electrochemical impedance spectroscopy" John Wiley & Sons, Inc 2012

      22 J. H. Park, "Electric vehicle waste battery management plan" Kyungnam Development Institute 2018

      23 Global Tech Korea, "Electri vehicle policy trends in europe, In-depth Analysis Report on Global Technology Cooperation Foundation Development Project" 2018

      24 Bio-Logic Science Instruments, "EIS measurements: Potentio (PEIS) or Galvano (GEIS) mode, that is the question"

      25 J. Masciotti, "Digital lock-in detection for discriminating multiple modulation frequencies with high accuracy and computational efficiency" 57 (57): 182-189, 2008

      26 Thanh-Tuan Nguyen, "Design of a Fuel Cell Power Conditioning System for Online Diagnosis and Load Leveling" 전력전자학회 16 (16): 695-703, 2016

      27 A. Maheshwari, "Cycle aging studies of lithium nickel manganese cobalt oxide-based batteries using electrochemical impedance spectroscopy" 273 : 335-348, 2018

      28 A. Maheshwari, "Cycle aging studies of lithium nickel manganese cobalt oxide-based batteries using electrochemical impedance spectroscopy" 273 : 335-348, 2018

      29 J. B. Jorcin, "CPE analysis by local electrochemical impedance spectroscopy" 51 (51): 1473-1479, 2006

      30 Navigant Research, "Alternative revenue models for advanced batteries" Guidehouse Insights 2016

      31 P. G. Balakrishnan, "Ageing mechanisms in lithium-ion batteries" 155 (155): 401-414, 2006

      32 Apex Microtechnology, "AN13 voltage to current conversion"

      33 C. Pastor-Fernández, "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" 360 : 301-318, 2017

      34 Solatron Analytical, "1250 frequency response analyzer operating manual"

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.17 0.17 0.2
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.21 0.23 0.361 0.06
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