論文 Automated Robotic Cell Fabrication Technology for Stacked‐Type Lithium‐Oxygen Batteries

Shoichi Matsuda SAMURAI ORCID (National Institute for Materials ScienceROR) ; Shin Kimura ; Misato Takahashi

コレクション

引用
Shoichi Matsuda, Shin Kimura, Misato Takahashi. Automated Robotic Cell Fabrication Technology for Stacked‐Type Lithium‐Oxygen Batteries. Batteries & Supercaps. 2024, 7 (12), e202400509. https://doi.org/10.1002/batt.202400509
SAMURAI

説明:

(abstract)

Rechargeable lithium-oxygen batteries (LOBs) are gaining interest as next-generation energy storage devices due to their superior theoretical energy density. While recent years have seen successful operation of LOBs with high cell-level energy density, the technology for cell fabrication is still in its infancy. This is because the cell fabrication procedure for LOBs is quite different from that of conventional lithium-ion batteries. The study presents a fully automated sequential robotic experimental setup for the fabrication of stacked-type LOB cells. This approach allows for high accuracy and high throughput fabrication of the cells. The developed system enables the fabrication of over 80 cells per day, which is 10 times higher than conventional human-based experiments. In addition, the high alignment accuracy during the electrode stacking and electrolyte injection process results in improved battery performance and reproducibility. The effectiveness of the developed system was also confirmed by investigating a multi-component electrolyte to maximize battery performance. We believe the methodology demonstrated in the present study is beneficial for accelerating the research and development of LOBs.

権利情報:

キーワード: Laboratory automation , High throughput experiments, Lithium-oxygen batteries, Cell fabrication, Electrolyte

刊行年月日: 2024-10-28

出版者: Wiley

掲載誌:

  • Batteries & Supercaps (ISSN: 25666223) vol. 7 issue. 12 e202400509

研究助成金:

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1002/batt.202400509

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更新時刻: 2024-12-13 16:30:37 +0900

MDRでの公開時刻: 2024-12-13 16:30:37 +0900

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