Dynamic Fields Visualization of Carbon-Black (CB) Volume Fraction Distribution in Lithium-ion Battery (LIB) Cathode Slurry by Electrical Resistance Tomography (ERT)

  • Karatsu Takashi
    Graduate School of Science and Engineering, Chiba University
  • Wang Zhilong
    Faculty of Mechanical and Precision Instrument Engineering, Xi’an University of Technology
  • Zhao Tong
    Faculty of Mechanical and Precision Instrument Engineering, Xi’an University of Technology
  • Kawashima Daisuke
    Graduate School of Science and Engineering, Chiba University
  • Takei Masahiro
    Graduate School of Science and Engineering, Chiba University

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Other Title
  • 電気レジスタンストモグラフィ(ERT)法を用いたリチウムイオン二次電池正極スラリー内カーボンブラック(CB)体積濃度分布の動的場可視化計測
  • デンキ レジスタンストモグラフィ(ERT)ホウ オ モチイタ リチウムイオン ニジ デンチ セイキョク スラリー ナイ カーボンブラック(CB)タイセキ ノウド ブンプ ノ ドウテキジョウ カシカ ケイソク

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<p>Dynamic fields visualization method of carbon-black (CB) volume fraction ΦCB distribution in Lithium-ion battery (LIB) cathode slurry has been proposed based on electrical resistance tomography (ERT) during the manufacturing process. The proposed method consists of an impedance analyzer, a switching circuit, and ΦCB distribution imaging algorism, archiving to the measurement speed of 5 frames per second. In experiments, ΦCB distribution was visualized by the proposed method in lab-scale LIB cathode manufacturing equipment. To qualitatively evaluate the ΦCB distribution images, those images are compared with scanning electron microscope (SEM) images. This comparison shows that the ΦCB distribution images are qualitatively consistent with SEM images. In addition, in order to quantitatively evaluate the proposed method, the accuracy of reconstructed ΦCB distribution is evaluated by electromagnetic field simulations. As a result, the root mean square errors RMSE between the known ΦCB distribution and that obtained by the proposed method was less than 0.56%.</p>

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