Abstract
Development of sodium-ion batteries (SIBs) with greater energy density is of particular interest, but the anode choice is very limited, because of the failure of graphite in storing sodium. Although the alloying-type anodes demonstrate much higher capacity than the carbon anodes, the severe capacity fading hinders their applications. Herein, we present a novel alloying/conversion-based anode, where a conversion-type metal oxide (e.g., MnO) microdumbbell framework modified by a carbon layer was designed to stabilize the high-capacity alloying (e.g., Sn) nanoparticles. Combined with an electrolyte engineering approach, the as-designed Sn-MnO@C anode demonstrates a superior performance to store sodium, including a high capacity of 370 mAh g–1, extraordinary rate capacities over 10 A g–1, and a long lifespan of over 500 cycles. The high performance of the Sn-MnO@C anode in the SIB was further confirmed when the sodium vanadium phosphate-based cathode was paired. We demonstrate the importance of the synergistic effect of electrode structural design and electrolyte engineering (i.e., tuning Na+-solvent-anion complex) for attaining greater performance. This study opens a new avenue to preparing novel framework-supported functional materials and also offers a new opportunity to examine the electrolyte performance, facilitating the design of SIBs with greater power energy densities.
Original language | English (US) |
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Pages (from-to) | 2469-2479 |
Number of pages | 11 |
Journal | ACS Materials Letters |
DOIs | |
State | Published - Nov 7 2022 |
Bibliographical note
KAUST Repository Item: Exported on 2022-11-14Acknowledgements: The authors greatly thank the National Natural Science Foundation of China (No. 22122904) for funding support. This work is also supported by the National Natural Science Foundation of China (Nos. 21978281, 22109155, 11974150, U21A20330) and the Fundamental Research Funds for the Central Universities (No. lzujbky-2021-pd10). The authors also thank the Bureau of International Cooperation, Chinese Academy of Sciences (CAS-NST Joint Research Project No. 121522KYSB20200047), and the Scientific and Technological Developing Project of Jilin Province (No. YDZJ202101ZYTS022). The computational work was done on the KAUST supercomputer.