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Electrolytes with high-efficiency lithium-ion transfer and reliable safety are of great importance for lithium battery. Although having superior ionic conductivity (10−3–10−2 S·cm−1), traditional liquid-state electrolytes always suffer from low lithium-ion transference number ( tLi+, < 0.4) and thus undesirable battery performances. Herein, the deep eutectic solvent (DES) is vacuum-filtered into the ~ 1 nm interlayer channel of vermiculite (Vr) lamellar framework to fabricate a quasi-solid electrolyte (Vr-DES QSE). We demonstrate that the nanoconfinement effect of interlayer channel could facilitate the opening of solvation shell around lithium-ion. Meanwhile, the interaction from channel wall could inhibit the movement of anion. These enable high-efficiency lithium-ion transfer: 2.61 × 10−4 S·cm−1 at 25 °C. Importantly, the tLi+ value reaches 0.63, which is 4.5 times of that of bulk DES, and much higher than most present liquid/quasi-solid electrolytes. In addition, Vr-DES QSE shows significantly improved interfacial stability with Li anode as compared with DES. The assembled Li symmetric cell can operate stably for 1000 h at 0.1 mA·cm−2. The lithium iron phosphate (LFP)|Vr-DES QSE|Li cell exhibits high capacity of 142.1 mAh·g−1 after 200 cycles at 25 °C and 0.5 C, with a capacity retention of 94.5%. The strategy of open solvation shell through nanoconfinement effect of lamellar framework may shed light on the development of advanced electrolytes.

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Acknowledgements

Publication history

Received: 24 January 2024
Revised: 29 February 2024
Accepted: 11 March 2024
Published: 15 April 2024

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© Tsinghua University Press 2024

Acknowledgements

Acknowledgements

The authors would like to acknowledge financial support from National Natural Science Foundation of China (No. U2004199), Joint Foundation for Science and Technology Research & Development Plan of Henan Province (Nos. 222301420003 and 232301420038), China Postdoctoral Science Foundation (No. 2022TQ0293), and Key Science and Technology Project of Henan Province (No. 221100240200-06). Center for advanced analysis and computational science, Zhengzhou University is also highly acknowledged.

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