Concurrent operando neutron imaging and diffraction analysis revealing spatial lithiation phase evolution in an ultra-thick graphite electrode
Markus Strobl, Monica E. Baur, Stavros Samothraktis, Florencia, Malamud, Xiaolong Zhang, Patrick K.M. Tung, S{\o}ren Schmidt, R. Woracek, J., Lee, Ryoji Kiyanagi, Luise Theil Kuhn, Inbal Gavish Segev, Yair Ein-Eli

TL;DR
This study introduces a combined neutron imaging and diffraction method to observe real-time lithium distribution and phase changes within ultra-thick graphite electrodes during battery cycling, revealing spatial heterogeneities and phase evolution.
Contribution
It presents a novel multi-modal operando technique that simultaneously captures macroscopic and crystallographic data on lithium dynamics in thick electrodes, advancing understanding of internal electrode processes.
Findings
Lithium gradients and phase formations vary spatially during cycling.
Delayed lithiation occurs at the electrode center, while SEI forms near the separator.
The method can study lithium diffusion and phase kinetics in thick electrodes.
Abstract
Energy efficient, safe and reliable Li-ion batteries (LIBs) are required for a wide range of applications. Charging capabilities of thick electrodes still holding their stored high-energy is a most desirable characteristic in future advanced LIBs. The introduction of ultra-thick graphite anode meets limitations in internal electrode transport properties, leading to Li-ion gradients with detrimental consequences for battery cell performance and lifetime. Yet, there is a lack of experimental tools capable of providing a complete view of local processes and evolving gradients within such thick electrodes. Here, we introduce a multi-modal operando measurement approach, enabling quantitative spatio-temporal observations of Li concentrations and intercalation phases in ultra-thick, graphite electrodes. Neutron imaging and diffraction concurrently provide correlated information from the…
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Taxonomy
TopicsNon-Destructive Testing Techniques · Electrochemical Analysis and Applications · Advanced Memory and Neural Computing
