SiOx is a promising anode material for lithium-ion batteries (LIBs) due to its relatively high capacity. Nevertheless, the poor conductivity and large volume expansion of SiOx upon Li+ insertion/extraction limit its application. Herein, a novel strategy for preparing ternary Ni/SiOx/nitrogen-doped carbon (NSC) composites has been developed through in situ transformation of a Ni3Si2O5(OH)4/nitrogen-doped carbon precursor derived from dried bamboo leaves. The 3D interconnected SiOx/nitrogen-doped carbon (SC) framework provides sufficient void spaces for relieving the volume change during the lithiation process while facilitating electrolyte infiltration and lithium ion diffusion processes. The growth of uniform Ni nanoparticles (NPs) on the surface of the SC matrix restricts the formation of cracks, reduces volume expansion during the lithiation process, and effectively improves the electrical conductivity of SiOx. The optimized sample delivers a high discharge capacity of 864.6 mA h g−1 after 70 cycles at 200 mA g−1 and a superior rate capability of 289.8 mA h g−1 at 10 A g−1. The electrode delivers a capacity of 427.6 mA h g−1 even at 5 A g−1 after 1000 cycles along with outstanding capacity retention (∼100%). Our method provides insight into the utilization of biomass towards high performance energy storage through simple and low-cost procedures.
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by the National Natural Science Foundation of China (NSFC 21671170, 21673203, 21805136 and 21201010), Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (TAPP), Natural Science Foundation of Jiangsu Province (BK20170999), Program for New Century Excellent Talents in University in China (NCET-13-0645), Six Talent Plan (2015-XCL-030), and Qinglan Project. We also acknowledge the Priority Academic Program Development of Jiangsu Higher Education Institutions and the technical support we received at the Testing Center of Yangzhou University. Research reported in this publication was partially supported by the King Abdullah University of Science & Technology (KAUST). X. T. Guo and Y. Z. Zhang contributed equally to this work.