Electrochemical impedance spectroscopy (EIS) is widely used in battery analysis as it is simple to implement and non-destructive. However, the data provided is a global representation of all electrochemical processes within the cell and much useful information is ambiguous or inaccessible when using traditional analysis techniques. This is a major challenge when EIS is used to analyse systems with complex cell chemistries, like lithium-sulfur (Li-S), one of the strongest candidates to supersede conventional Li-ion batteries. Here we demonstrate the application of distribution of relaxation times (DRT) analysis for quantitative deconvolution of EIS spectra from Li-S batteries, revealing the contributions of (eight) distinct electrode processes to the total cell polarisation. The DRT profile is shown to be strongly dependent on cell state-of-charge, offering a route to automated and on-board analysis of Li-S cells.

电化学阻抗谱 (EIS) 广泛用于电池分析，因为它易于实施且无损。然而，所提供的数据是电池内所有电化学过程的全局表示，并且在使用传统分析技术时，许多有用的信息是模棱两可或无法访问的。当 EIS 用于分析具有复杂电池化学成分的系统时，这是一个重大挑战，例如锂硫 (Li-S)，它是取代传统锂离子电池的最强候选者之一。在这里，我们展示了弛豫时间分布 (DRT) 分析在 Li-S 电池 EIS 光谱的定量反卷积中的应用，揭示了（八）不同电极过程对总电池极化的贡献。DRT 曲线显示出强烈依赖于电池充电状态，