Insights into the Coating Integrity and its Effect on the Electrochemical Performance of Core-Shell Structure SiO x @C Composite Anodes.
Zhexi XiaoXianqing LinChenxi ZhangJiaqi ShenRuirui ZhangZiying HeZhenkang LinHairong JiangFei WeiPublished in: Small methods (2023)
Silicon-based anodes have been considered as ideal candidates for next-generation Li-ion batteries. However, the rapid cyclability decay due to significant volume expansion limits its commercialization. Besides, the instable interface further aggravates the degradation. Carbon coating is one effective way to improve the electrochemical performance.The coating integrity may be a critical index for core-shell structure electrode materials. Herein, the coating integrity of SiO x @C composite is tested by a developed selective alkali dissolution, further quantitatively depicted by a proposed index of alkali solubility α. The effect of coating integrity on electrochemical performance reveals that SiO x dissolution loss has a significant impact on the overall electrode structure stability and interface property. Because of the side reaction between uncoated active SiO x and electrolyte, the quadratic decrease of initial coulombic efficiency and increase of solid electrolyte interphase thickness with the rise of alkali solubility are closely related to the generated F content induced by active material loss, further supported by the obvious linear rise of Li 2 SiF 6 fraction, leads to the linear increase of interface impedance and volume expansion rate, which may take primarily responsibility for the performance decay. This work propels the fundamental understanding on the interface failure mechnism and inspires rational high-performance electrode material design.
Keyphrases
- ion batteries
- gold nanoparticles
- ionic liquid
- label free
- molecularly imprinted
- magnetic nanoparticles
- carbon nanotubes
- solid state
- optical coherence tomography
- magnetic resonance imaging
- computed tomography
- drug induced
- high resolution
- mass spectrometry
- quantum dots
- neural network
- liquid chromatography
- simultaneous determination
- tandem mass spectrometry