Operando NMR characterization of a metal-air battery using a double-compartment cell design

IF 1.8 3区 化学 Q4 CHEMISTRY, PHYSICAL
Magali Gauthier, Minh Hoang Nguyen , Lucie Blondeau, Eddy Foy, Alan Wong
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引用次数: 7

Abstract

Applying operando investigations is becoming essential for acquiring fundamental insights into the reaction mechanisms and phenomena at stake in batteries currently under development. The capability of a real-time characterization of the charge/discharge electrochemical pathways and the reactivity of the electrolyte is critical to decipher the underlying chemistries and improve the battery performance. Yet, adapting operando techniques for new chemistries such as metal-oxygen (i.e. metal-air) batteries introduces challenges in the cell design due notably to the requirements of an oxygen gas supply at the cathode. Herein a simple operando cell is presented with a two-compartment cylindrical cell design for NMR spectroscopy. The design is discussed and evaluated. Operando 7Li static NMR characterization on a Li–O2 battery was performed as a proof-of-concept. The productions of Li2O2, mossy Li/Li dendrites and other irreversible parasitic lithium compounds were captured in the charge/discharge processes, demonstrating the capability of tracking the evolution of the anodic and cathodic chemistry in metal-oxygen batteries.

Abstract Image

采用双室电池设计的金属-空气电池的核磁共振特性
应用operando研究对于获得当前正在开发的电池的反应机制和危险现象的基本见解变得至关重要。实时表征充电/放电电化学途径和电解质反应性的能力对于破译潜在的化学成分和提高电池性能至关重要。然而,将operando技术应用于金属-氧气(即金属-空气)电池等新化学物质,会给电池设计带来挑战,主要是因为阴极需要氧气供应。本文提出了一种简单的双室圆柱形核磁共振波谱池设计。对设计进行了讨论和评价。在锂氧电池上进行了Operando 7Li静态核磁共振表征,作为概念验证。在充放电过程中捕获了Li2O2、苔藓状Li/Li枝晶和其他不可逆寄生锂化合物的生成,证明了跟踪金属氧电池阳极和阴极化学演变的能力。
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来源期刊
CiteScore
5.30
自引率
9.40%
发文量
42
审稿时长
72 days
期刊介绍: The journal Solid State Nuclear Magnetic Resonance publishes original manuscripts of high scientific quality dealing with all experimental and theoretical aspects of solid state NMR. This includes advances in instrumentation, development of new experimental techniques and methodology, new theoretical insights, new data processing and simulation methods, and original applications of established or novel methods to scientific problems.
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