Mayer Sergio Federico, Mercier-Guyon Benjamin, Doublet Célia, Fauchier-Magnan Adrien, Mangani Léa Rose, Renais Corentin, Reuter Magda, Thompson Oskar, Trassart Lucas, Villevieille Claire
Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI, Grenoble, 38000, France.
Univ. Grenoble Alpes, CEA, Liten, DEHT, Grenoble, 38000, France.
Small. 2025 Aug;21(34):e2504379. doi: 10.1002/smll.202504379. Epub 2025 Jul 17.
Battery performance and longevity are critically dependent on interfacial characteristics, regardless of whether these interfaces are organic, inorganic, or buried. Comprehensive understanding of these regions is essential for optimizing electrochemical performance. Characterization of battery interfaces presents significant challenges due to their nanometer-scale thickness, complex composition (often a mixture of organic and inorganic decomposition products), and susceptibility to environmental factors and beam damage. In situ and operando techniques, often utilizing synchrotron or neutron sources, are preferred to minimize contamination and capture dynamic interfacial evolution. However, experimental constraints limit universal applicability; vacuum-based methods suitable for solid-state batteries are incompatible with liquid electrolyte systems, while buried interfaces pose unique analytical hurdles. A lack of standardized characterization protocols contributes to data variability and potential bias within literature. This review addresses strategies for investigating buried interfaces and examines advanced characterization techniques commonly employed in lithium-ion battery interface studies. This study specifically addresses concerns surrounding data interpretation and the inherent sensitivity of these layers, highlighting the need for careful methodological consideration and rigorous data validation to ensure accurate representation of interfacial behavior.
电池性能和寿命严重依赖于界面特性,无论这些界面是有机的、无机的还是埋藏的。全面了解这些区域对于优化电化学性能至关重要。由于电池界面具有纳米级厚度、复杂的成分(通常是有机和无机分解产物的混合物)以及对环境因素和束流损伤的敏感性,对其进行表征面临重大挑战。原位和操作技术通常利用同步加速器或中子源,以尽量减少污染并捕捉动态界面演化。然而,实验限制限制了其普遍适用性;适用于固态电池的基于真空的方法与液体电解质系统不兼容,而埋藏界面则带来了独特的分析障碍。缺乏标准化的表征协议导致了文献中数据的可变性和潜在偏差。本综述探讨了研究埋藏界面的策略,并审视了锂离子电池界面研究中常用的先进表征技术。本研究特别关注围绕数据解释和这些层固有敏感性的问题,强调需要仔细的方法学考量和严格的数据验证,以确保准确呈现界面行为。