Most detailed X-ray image of batteries yet to reveal why they still aren't good enough

Most detailed X-ray image of batteries yet to reveal why they still aren't good enough [rejected]
In-depth computational models of commercial lithium-ion battery electrodes specifically reveal where damage happens with use. Credit: Purdue University image/Kejie Zhao

Electric cars rely on the same lithium-ion battery technology that's in smartphones, laptops and virtually everything electronic.

But the technology has been extremely slow to improve. While electric cars can more than handle the average American's daily commute, the average gas-powered car can still go farther on a full tank of gas, charging stations are scarce and it takes significantly longer to charge a battery than to fill a tank.

To improve charging capacity in and increase adoption of , the industry will have to return to the basic science of how batteries wear out over time.

A multi-institute team of researchers has developed the most comprehensive view yet of lithium-ion battery electrodes, where most damage typically occurs from charging them repeatedly. Manufacturers could use this information to design batteries for your smartphone or car that are both more reliable and longer-lasting, the researchers say.

"The creation of knowledge is sometimes more valuable than solving the problem of battery damage," said Kejie Zhao, an assistant professor of mechanical engineering at Purdue University. "Before, people didn't have the techniques or theory to understand this problem."

The technique, explained in the journals Advanced Energy Materials and the Journal of the Mechanics and Physics of Solids, is essentially an X-ray tool driven by artificial intelligence. It can automatically scan thousands of in a lithium-ion battery electrode at once – all the way down to the atoms that make up the particles themselves – using machine-learning algorithms.

Most detailed X-ray image of batteries yet to reveal why they still aren't good enough [rejected]
Researchers have created a new technique that scans thousands of particles in the electrode of a battery at once. The goal is to understand how cracks in these particles impact battery performance, so that the industry can build more reliable batteries with higher charging capacity. Credit: European Synchrotron Radiation Facility image/Yang Yang

Granted, there are actually millions of particles in a battery electrode. But researchers can now analyze them more thoroughly than they could before – and at the various operating conditions that we use commercial batteries in the real world, such as their voltage window and how quickly they charge.

"Most work had been focused on the single particle level and using that analysis to understand the whole battery. But there's obviously a gap there; a lot differs between a single particle at a micron scale and the whole battery at a much larger scale," said Zhao, whose lab studies the fundamental science of how the mechanical and electrochemical aspects of a battery affect each other.

Every time that a battery charges, lithium ions travel back and forth between a positive electrode and a negative electrode. These ions interact with particles in electrodes, causing them to crack and degrade over time. Electrode damage reduces a battery's charging capacity.

It's hard for a battery to have a high capacity and be reliable at the same time, Zhao says. Increasing a battery's capacity often means sacrificing its reliability.

The researchers' work to map out damage in lithium-ion batteries started with their finding that degradation in battery particles doesn't happen at the same time or in the same location; some particles fail more quickly than others.

But to truly study this in more detail, the team needed to create a new technique altogether; existing methods wouldn't entirely capture damage in battery electrodes.

The researchers turned to massive, miles-long facilities called synchrotrons at the European Synchrotron Radiation Facility (ESRF) and the Stanford Synchrotron Radiation Lightsource (SSRL) of SLAC National Laboratory. These facilities host particles traveling at almost the speed of light, giving off radiation that is used to create images called synchrotron X-rays.

Virginia Tech researchers manufactured the materials and batteries for testing – ranging from the pouch cell batteries in smartphones to the coin cells in watches. Researchers at ESRF and SSRL created the ability to scan as many electrode particles in these batteries as possible in a single go, then produce these X-ray images for analysis. Maps of particle cracking and degradation at the surfaces of particles, called "interfacial debonding," can now serve as a reference tools for knowing ranging degrees of damage in battery electrodes.

To understand how these cracks impact battery performance, Zhao's team at Purdue developed theories and computational tools. They found, for example, that because particles near where lithium ions shuttle back and forth, called the "separator," are more used than particles near the bottom of electrode materials, they fail more quickly.

This variability in electrode particle damage, or "heterogeneous degradation," is more severe in thicker electrodes and during fast-charging conditions.

"The capacity of batteries doesn't depend on how many particles are in the ; what matters is how the lithium ions are used," Zhao said.

The goal for the project is not for every researcher and industry player to use the technique itself – especially given that there are only a handful of synchrotrons in the U.S. – but for these groups to use the knowledge generated from the technique. The researchers plan to continue using the technique to document how damage happens and affects performance in commercial batteries.


Explore further

The most complete study of battery failure sees the light

More information: Yang Yang et al. Quantification of Heterogeneous Degradation in Li‐Ion Batteries, Advanced Energy Materials (2019). DOI: 10.1002/aenm.201900674

Rong Xu et al. Heterogeneous damage in Li-ion batteries: Experimental analysis and theoretical modeling, Journal of the Mechanics and Physics of Solids (2019). DOI: 10.1016/j.jmps.2019.05.003

Journal information: Advanced Energy Materials

Provided by Purdue University
Citation: Most detailed X-ray image of batteries yet to reveal why they still aren't good enough (2019, June 4) retrieved 27 June 2019 from https://phys.org/news/2019-06-x-ray-image-batteries-reveal-good.html
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