Using computational models to study the processes that occur in batteries, Stony Brook University adapted models developed to study the onset of dendritic transition to the Eos battery system. This allowed them to examine processes and mechanisms in these batteries to create operating maps and strategies and improve the battery.
“The computer modeling results have allowed Eos to find optimal operating conditions for our commercial battery, which will in turn make our batteries more efficient for grid storage applications in the future”– Dr. George Adamson, VP for Research and Development, EOS Energy.
The economic impact of this project resulted in 2 new jobs with an associated cost savings of $500,000 to Eos. View the details of this case study to learn more.