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The DOE Science News Source is a Newswise initiative to promote research news from the Office of Science of the DOE to the public and news media.
  • 2017-04-19 13:05:27
  • Article ID: 673265

Developing Tools to Understand Lithium-Ion Battery Instabilities

Enabling study of interface thickness evolution on high-capacity battery electrodes.

  • Credit: Image courtesy of Advanced Energy Materials

    Atomic force microscopy (AFM) can measure atomic-scale height variations on the surface of a material. This investigation has developed AFM techniques to study silicon (Si) battery electrode materials during charge-discharge cycling (left). The design of the thin film electrode allows the measurement of growth of the surface interface layer (SEI) (purple region in the right image) during the cycling; this approach allows extraction of the interface thickness from the overall electrode volume change (tan).

The Science

Wouldn’t it be nice if lithium-ion batteries lasted as long as a car? Scientists have proposed silicon as a high-capacity negative electrode for lithium-ion batteries. Unfortunately, the formation and thickening of interface layers on top of silicon electrodes degrades cell performance. The result? You have to replace the battery. Measurements of the thickness of the interface material, known as the solid-electrolyte interphase or SEI, vary by two orders of magnitude. In this research, scientists combined real-time atomic force microscopy, which can measure surface layer thicknesses, with electrochemical cycling and a carefully designed sample geometry to unambiguously measure the SEI evolve. The sample design facilitates clear separation of SEI thickness evolution from the volume changes of the underlying silicon electrode. The measurements can be used to benchmark models of SEI reaction kinetics for different electrolytes.

The Impact

To lengthen the life of lithium-ion batteries, we need to know how to combat SEI formation. This measurement capability is a vital step in new studies of SEI properties. The approach offers real-time measurement of SEI thickness evolution with nanometer precision. It will allow for effective study of electrolyte compositions and additives and their effect on cell performance.   

Summary

This research has developed new techniques for in situ measurements of the growth of solid-electrolyte interphase (SEI) layers on silicon electrodes. These interface changes are accompanied by volume expansion induced by transport of lithium into the silicon. For these investigations, the team fabricated thin film amorphous silicon electrodes in a configuration that allows unambiguous separation of the total thickness change into the contributions due to the growth of the SEI and from the change in the silicon volume. They assembled the electrodes into a custom-designed electrochemical cell, which they integrated with an atomic force microscope. The electrodes are subjected to charge-discharge (lithiation-delithiation) cycles at a sequence of constant potential values and the thickness measurements are made at each potential after equilibrium is reached. The team carried out experiments with two electrolytes: 1.2M lithium hexafluoro-phosphate (LiPF6) in ethylene carbonate (EC) and 1.2M LiPF6 in propylene carbonate (PC) – to investigate the influence of electrolyte composition on SEI evolution. The team observed that SEI formation occurs predominantly during the first charging cycle and the maximum SEI thickness is approximately 17 nm and 10 nm, respectively, for EC and PC electrolytes. The measurements also yield valuable information on how the silicon electrode’s expansion ratio and charge capacity vary with equilibrium potential. Both relationships display hysteresis (for example, the measurements show a dependence on whether the electrode is being charged or discharged), which is explained in terms of the evolution of stress in silicon electrodes due to the changing volume. This sample design and measurement capability open the door for clear determination of which components and variations result in performance improvements in high-capacity lithium-ion batteries.

 

Funding

This work was fully supported by a Department of Energy Experimental Program to Stimulate Competitive Research (EPSCoR) Implementation award.

Publications

I. Yoon, D.P. Abraham, B.L. Lucht, A.F. Bower, and P.R. Guduru, “In situ measurement of solid electrolyte interphase evolution on silicon anodes using atomic force microscopy.” Advanced Energy Materials 6(12), 1600099 (2016). [DOI 10.1002/aenm.201600099]

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Rutgers Scientists Discover 'Legos of Life'

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Theoretical Physicist Elena Belova Named to Editorial Board of Physics of Plasmas

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Argonne Welcomes Department of Energy Secretary Perry

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Argonne names John Quintana Deputy Laboratory Director for Operations and COO

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Developing Next-Generation Sensing Technologies

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Exploring Past, Present, and Future Water Availability Regionally, Globally

New open-source software simulates river and runoff resources.

Arctic Photosynthetic Capacity and Carbon Dioxide Assimilation Underestimated by Terrestrial Biosphere Models

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Non-destructive technique identifies key variations in Alaskan soils, quickly providing insights into carbon levels.

Superconducting Tokamaks Are Standing Tall

Plasma physicists significantly improve the vertical stability of a Korean fusion device.

Graphene Flexes Its Muscle

Crumpling reduces rigidity in an otherwise stiff material, making it less prone to catastrophic failure.

Remotely Predicting Leaf Age in Tropical Forests

New approach offers data across species, sites, and canopies, providing insights into carbon uptake by forests.

What's the Noise Eating Quantum Bits?

The magnetic noise caused by adsorbed oxygen molecules is "eating at" the phase stability of quantum bits, mitigating the noise is vital for future quantum computers.

Rewritable Wires Could Mean No More Obsolete Circuitry

An electric field switches the conductivity on and off in atomic-scale channels, which could allow for upgrades at will.

Filtering Water Better than Nature

Water passes through human-made straws faster than the "gold standard" protein, allowing us to filter seawater.

Machine Learning Provides a Bridge to the Texture of the Quantum World

Machine learning and neural networks are the foundation of artificial intelligence and image recognition, but now they offer a bridge to see and recognize exotic insulating phases in quantum materials.


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