电池(电)
电解质
锂(药物)
降级(电信)
离子电导率
材料科学
锂离子电池
相间
电化学
多尺度建模
计算机科学
电导率
化学工程
纳米技术
化学
电极
工程类
热力学
电信
计算化学
物理
功率(物理)
物理化学
遗传学
医学
内分泌学
生物
作者
Daniel Witt,Fridolin Röder,Ulrike Krewer
标识
DOI:10.1002/batt.202200067
摘要
Abstract The quality of lithium‐ion batteries is affected by the formation of the solid electrolyte interphase (SEI). For a better understanding of its effect on cell performance and aging, fast and economically scalable SEI diagnostics are indispensable. Battery models promise to extract hardly accessible interfacial and bulk properties of the SEI from electrochemical impedance spectra and discharge data. The common analysis of only one measurement, often with empirical models, impedes a precise localization of degradation‐related and performance‐limiting processes. This work offers a solution by combining physicochemical SEI and cell modeling for the joint analysis of both measurement types. Our analysis highlights the minor importance of the SEI ionic conductivity for cell performance along with a significant improvement and notable effect of its interfacial properties along aging. Such a detailed understanding of the initial SEI and its evolution over time could enable, e. g., a knowledge‐based optimization of the cell formation process.
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