Manai Ono
;
Misato Takahashi
;
Ryo Tamura
;
Shoichi Matsuda
説明:
(abstract)To accelerate the development of high-performance electrolytes for sodium-ion batteries (SIBs), we systematically investigated the effects of three key parameters, NaFSI concentration, DMC/EMC ratio, and FEC content, on the performance of SIB using NaNi1/3Fe1/3Mn1/3O2 and hard carbon as the positive and negative electrodes. A total of 132 electrolyte formulations were prepared using automated liquid handling, and their electrochemical performance was evaluated using multichannel full-cell measurements. Data-driven analysis employing machine learning revealed that NaFSI concentration plays the most critical role in enabling highly reversible charge–discharge behavior. Long-term cycling tests and interfacial composition analyses were further conducted to clarify the influence of electrolyte components on stability. Detailed studies focusing on high-NaFSI, FEC-containing electrolytes showed that EMC-rich formulations outperformed DMC-rich counterparts, maintaining Coulombic efficiencies over 99.6% even after 300 cycles. X-ray photoelectron spectroscopy confirmed that these stable systems promote the formation of NaF-rich interphases on both electrodes. These findings provide valuable insights into electrolyte design strategies for durable and efficient SIBs and highlight the utility of high-throughput experimentation coupled with machine learning for electrolyte discovery.
権利情報:
キーワード: sodium ion battery
刊行年月日: 2026-02-09
出版者: American Chemical Society (ACS)
掲載誌:
研究助成金:
原稿種別: 出版者版 (Version of record)
MDR DOI:
公開URL: https://doi.org/10.1021/acsaem.5c03028
関連資料:
その他の識別子:
連絡先:
更新時刻: 2026-02-13 16:30:18 +0900
MDRでの公開時刻: 2026-02-13 14:13:28 +0900
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unveiling-electrolyte-design-principles-for-sodium-ion-batteries-using-combinatorial-electrochemistry-and-machine.pdf
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サイズ | 3.42MB | 詳細 |