Li-ion battery performance is strongly influenced by the 3D microstructure of its cathode particles.Cracks within these particles develop during calendaring and cycling,reducing connectivity but increasing reactive su...Li-ion battery performance is strongly influenced by the 3D microstructure of its cathode particles.Cracks within these particles develop during calendaring and cycling,reducing connectivity but increasing reactive surface,making their impact on battery performance complex.Understanding these contradictory effects requires a quantitative link between particle morphology and battery performance.However,informative 3D imaging techniques are time-consuming,costly and rarely available,such that analyses often have to rely on 2D image data.This paper presents a novel stereological approach for generating virtual 3D cathode particles exhibiting crack networks that are statistically equivalent to those observed in 2D sections of experimentally measured particles.Consequently,2D image data suffices for deriving a full 3D characterization of cracked cathodes particles.Such virtually generated 3D particles could serve as geometry input for spatially resolved electro-chemo-mechanical simulations to enhance our understanding of structure-property relationships of cathodes in Li-ion batteries.展开更多
基金Funding was provided by DOE’s Vehicle Technologies Office,Extreme Fast Charge and Cell Evaluation of Lithium-ion Batteries Program,Jake Herb,Technology Manager.The views expressed in the article do not necessarily represent the views of the DOE or the U.S.Government.
文摘Li-ion battery performance is strongly influenced by the 3D microstructure of its cathode particles.Cracks within these particles develop during calendaring and cycling,reducing connectivity but increasing reactive surface,making their impact on battery performance complex.Understanding these contradictory effects requires a quantitative link between particle morphology and battery performance.However,informative 3D imaging techniques are time-consuming,costly and rarely available,such that analyses often have to rely on 2D image data.This paper presents a novel stereological approach for generating virtual 3D cathode particles exhibiting crack networks that are statistically equivalent to those observed in 2D sections of experimentally measured particles.Consequently,2D image data suffices for deriving a full 3D characterization of cracked cathodes particles.Such virtually generated 3D particles could serve as geometry input for spatially resolved electro-chemo-mechanical simulations to enhance our understanding of structure-property relationships of cathodes in Li-ion batteries.
