Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging

Simon Müller, Patrick Pietsch, Ben-Elias Brandt, Paul Baade, Vincent Andrade, Francesco Carlo and Vanessa Wood ()
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Simon Müller: Department of Information Technology and Electrical Engineering
Patrick Pietsch: Department of Information Technology and Electrical Engineering
Ben-Elias Brandt: Department of Information Technology and Electrical Engineering
Paul Baade: Department of Information Technology and Electrical Engineering
Vincent Andrade: Argonne National Laboratory
Francesco Carlo: Argonne National Laboratory
Vanessa Wood: Department of Information Technology and Electrical Engineering

Nature Communications, 2018, vol. 9, issue 1, 1-8

Abstract: Abstract Capacity fade in lithium-ion battery electrodes can result from a degradation mechanism in which the carbon black-binder network detaches from the active material. Here we present two approaches to visualize and quantify this detachment and use the experimental results to develop and validate a model that considers how the active particle size, the viscoelastic parameters of the composite electrode, the adhesion between the active particle and the carbon black-binder domain, and the solid electrolyte interphase growth rate impact detachment and capacity fade. Using carbon-silicon composite electrodes as a model system, we demonstrate X-ray nano-tomography and backscatter scanning electron microscopy with sufficient resolution and contrast to segment the pore space, active particles, and carbon black-binder domain and quantify delamination as a function of cycle number. The validated model is further used to discuss how detachment and capacity fade in high-capacity materials can be minimized through materials engineering.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04477-1

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DOI: 10.1038/s41467-018-04477-1

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