Framework predicts solid advance for battery electrolytes

From cellphones to electric vehicles to microgrids, the future is battery-powered. Current lithium-ion batteries, however, require hard-to-find, expensive materials, and their liquid electrolytes can make for a volatile product. Solid-state batteries are a safer option that can hold even more energy, but effectively harnessing their structure-performance relationship has remained a complex barrier to better batteries.

Now, researchers at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) and Institute for Materials Research in Japan have developed a framework for predicting how the structure of solid-state electrolytes can affect the performance of a battery. They report their findings in a paper in Chemistry of Materials.

"Developing promising energy-storage devices is critical to realize a sustainable future," said Hao Li, associate professor at WPI-AIMR and co-corresponding author of the paper. "Over the past few decades, many attempts to find 'beyond lithium' battery electrolytes have been reported, and in particular, divalent closo-type complex hydride (CTCH) electrolytes are valuable alternatives to overcome the safety and energy-density limitations of lithium-ion technology."

A typical battery consists of oppositely charged metal electrodes in a liquid electrolyte. During charging, lithium ions diffuse from the positively charged electrode and attach to carbon on the negatively charged electrode. This process goes into reverse when the battery is used.

According to the researchers, CTCH electrolytes can accelerate the rate at which positive lithium ions diffuse during the process. This increased conductivity is achieved by adding neutral molecules to the CTCH's structural lattice.

"Neutral-molecule-containing CTCHs are a class of promising but highly complicated materials," said Shin-ichi Orimo, professor and director of WPI-AIMR and co-corresponding author of the paper. "The key determinants of their performance as battery electrolytes and their structure-performance relationships have been a big mystery that hampered the exploration of the ionic diffusion mechanism and the design of high-performance batteries."

To address this challenge, the researchers combined a genetic algorithm, which imitates the process of natural selection to refine a population's subjects, with computational modeling of how energy functions within a system. Using this framework, the researchers found they could predict how adding neutral molecules to a CTCH would affect its performance.

Without using any experimental information to set the parameters, the team used this strategy to successfully predict both structural information and diffusion activation energies. Their predictions proved very close to experimental observations.

"Based on these results, we developed robust structure-performance relationships that can precisely predict the divalent CTCH performance and identify the key factors that affect ionic conductivity," Li said. "This study paves a new avenue for building a precise structure-performance picture of complex materials starting from near-zero information."

Next, the researchers plan to design and screen high-performance and cost-effective electrolytes, as well as apply the framework to better understand other classes of solid-state electrolytes.

This story is adapted from material from Tohoku University, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier. Link to original source.