論文

2021年11月

Detection of Unbalanced Voltage Cells in Series-connected Lithium-ion Batteries Using Single-frequency Electrochemical Impedance Spectroscopy

JOURNAL OF ELECTROCHEMICAL SCIENCE AND TECHNOLOGY
  • Norihiro Togasaki
  • ,
  • Tokihiko Yokoshima
  • ,
  • Yasumasa Oguma
  • ,
  • Tetsuya Osaka

12
4
開始ページ
415
終了ページ
423
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.33961/jecst.2021.00115
出版者・発行元
KOREAN ELECTROCHEMISTRY SOC

For a battery module where single cells are connected in series, the single cells should each have a similar state of charge (SOC) to prevent them from being exposed to an overcharge or over-discharge during charge-discharge cycling. To detect the existence of unbalanced SOC cells in a battery module, we propose a simple measurement method using a single-frequency response of electrochemical impedance spectroscopy (EIS). For a commercially available graphite/nickel-cobaltaluminum-oxide lithium-ion cell, the cell impedance increases significantly below SOC20%, while the impedance in the medium SOC region (SOC20%-SOC80%) remains low with only minor changes. This impedance behavior is mostly due to the elementary processes of cathode reactions in the cell. Among the impedance values (Z, Z', Z ''), the imaginary component of Z '' regarding cathode reactions changes heavily as a function of SOC, in particular, when the EIS measurement is performed around 0.1 Hz. Thanks to the significant difference in the time constant of cathode reactions between <= SOC10% and >= SOC20%, a single-frequency EIS measurement enlarges the difference in impedance between balanced and unbalanced cells in the module and facilitates an similar to 80% improvement in the detection signal compared to results with conventional EIS measurements.

リンク情報
DOI
https://doi.org/10.33961/jecst.2021.00115
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000729802000005&DestApp=WOS_CPL
ID情報
  • DOI : 10.33961/jecst.2021.00115
  • ISSN : 2093-8551
  • Web of Science ID : WOS:000729802000005

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