Chung Dong Jae, Youn Donghan, Kim Ji Young, Jeong Won Joon, Kim Soohwan, Ma Donghyeok, Lee Tae Rim, Kim Seung Tae, Kim Hansu
Department of Energy Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.
Small. 2022 Jul;18(27):e2202209. doi: 10.1002/smll.202202209. Epub 2022 Jun 9.
Silicon monoxide (SiO)-based materials have great potential as high-capacity anode materials for lithium-ion batteries. However, they suffer from a low initial coulombic efficiency (ICE) and poor cycle stability, which prevent their successful implementation into commercial lithium-ion batteries. Despite considerable efforts in recent decades, their low ICE and poor cycle stability cannot be resolved at the same time. Here, it is demonstrated that the topological optimization of the prelithiated SiO materials is highly effective in improving both ICE and capacity retention. Laser-assisted atom probe tomography combined with thermogravimetry and differential scanning calorimetry reveals that two exothermic reactions related to microstructural evolution are key in optimizing the domain size of the Si active phase and Li SiO buffer phase, and their topological arrangements in prelithiated SiO materials. The optimized prelithiated SiO, heat-treated at 650 °C, shows higher capacity retention of 73.4% and lower thickness changes of 68% after 300 cycles than those treated at other temperatures, with high ICE of ≈90% and reversible capacity of 1164 mAh g . Such excellent electrochemical properties of the prelithiated SiO electrode originate from its optimized topological arrangement of active Si phase and Li SiO inactive buffer phase.
基于一氧化硅(SiO)的材料作为锂离子电池的高容量负极材料具有巨大潜力。然而,它们存在首次库仑效率(ICE)低和循环稳定性差的问题,这阻碍了它们成功应用于商用锂离子电池。尽管近几十年来人们付出了巨大努力,但它们的低ICE和差的循环稳定性无法同时得到解决。在此,研究表明预锂化SiO材料的拓扑优化在提高ICE和容量保持率方面非常有效。激光辅助原子探针断层扫描结合热重分析和差示扫描量热法表明,与微观结构演变相关的两个放热反应是优化预锂化SiO材料中Si活性相和LiSiO缓冲相的畴尺寸及其拓扑排列的关键。在650℃下热处理的优化预锂化SiO在300次循环后显示出更高的容量保持率,为73.4%,厚度变化更低,为68%,同时具有约90%的高ICE和1164 mAh g的可逆容量。预锂化SiO电极如此优异的电化学性能源于其活性Si相和LiSiO非活性缓冲相的优化拓扑排列。