Diagnosing and tracking lithium-ion battery degradation
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Diagnosing and tracking lithium-ion battery degradation


Integrated Xenon ion plasma FIB milling and ToF-SIMS technique. a) The schematic diagram of the first step Xe+ PFIB milling for the cycled NMC electrode, and the SEM image of the cross-sectional interface (inset, blue box, scale bar: 40 μm). (Gray layer: external surface with SEI, Yellow layer: subsurface underneath the external SEI.) b) The schematic diagram of the integrated ToF-SIMS characterization for the selected area (red box) on the cross-sectional interface of cycled NMC cathode, and the SEM image of the selected area (inset, red box, scale bar: 10 μm). c) The mass spectrum survey obtained by ToF-SIMS characterization, and the index illustration of secondary ions. d) The lithium chemical mapping of the above detected area on the cross-sectional interface of cycled NMC electrode (integrated from 100 tomographic frames, equivalent to a total lengthways depth of 30 nm from the cross-sectional interface). Credit: DOI: 10.1002/eem2.12221
Integrated Xenon ion plasma FIB milling and ToF-SIMS technique. a) The schematic diagram of the first step Xe+ PFIB milling for the cycled NMC electrode, and the SEM image of the cross-sectional interface (inset, blue box, scale bar: 40 μm). (Gray layer: external surface with SEI, Yellow layer: subsurface underneath the external SEI.) b) The schematic diagram of the integrated ToF-SIMS characterization for the selected area (red box) on the cross-sectional interface of cycled NMC cathode, and the SEM image of the selected area (inset, red box, scale bar: 10 μm). c) The mass spectrum survey obtained by ToF-SIMS characterization, and the index illustration of secondary ions. d) The lithium chemical mapping of the above detected area on the cross-sectional interface of cycled NMC electrode (integrated from 100 tomographic frames, equivalent to a total lengthways depth of 30 nm from the cross-sectional interface). Credit: DOI: 10.1002/eem2.12221

An international team of researchers has devised a method to detect the degradation mechanism of lithium-ion batteries. Lithium-ion (Li-ion) batteries are seen as the great hope for the future of battery technology because of their immense potential for long-life cycles and energy density. However, degradation is one of the Li-ion battery's toughest challenges. To eliminate the degradation and extend the lifespan, scientists need to figure out what causes IT in the first place.


In a paper published in Energy & Environmental Materials, the University of Surrey, together with TESCAN Brno, s.r.o. (a leading global supplier of scanning electron microscopes and related charged-particle beam instruments) and the Oak Ridge National Laboratory explains a new way to detect and investigate Li-ion's degradation mechanisms.


The team used an integrated characterization platform to directly observe inside the batteries' electrodes. This platform is based on a dual-beam electron microscope, with the mass spectrum equipment attached to it.

Using the platform, the team was able to study the behavior of widely-used electrodes in Li-ion batteries (NMC cathode and graphite anode), and, for the first time ever, the team was able to observe degradation take place. These observations could scientists make improvements to the performance of Li-ion batteries can be improved in the future.


Dr. Yunlong Zhao, project co-lead from the University of Surrey said, if lithium-ion batteries are to meet their potential by playing an integral role in our day-to-day lives via a varied range of applications, the scientific community needs to identify and investigate the complex reactions during their degradation. Our method could be the building block that allows Li-ion batteries to improve energy density.


Dr. Tan Sui, project co-lead from the University of Surrey said, our team of talented scientists was driven by the prospect of developing a method that could someday allow Li-ion batteries to play a leading role in a greener planet. We are excited by what the future might bring.


Journal Information: Xuhui Yao et al, Degradation Diagnostics from the Subsurface of Lithium‐Ion Battery Electrodes, ENERGY & ENVIRONMENTAL MATERIALS (2021). DOI: 10.1002/eem2.12221

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