Argonne National Labs Using AI To Predict Battery Cycles - AI Trends

Thanks to the cost reductions that have come from global electric vehicle adoption, lithium ion batteries now have an important role to play in grid storage, Susan Babinec, Argonne National Laboratory, told audiences last week at the International Battery Virtual Seminar and Exhibit. But making full use of them is going to require a bit of help from artificial intelligence. While EVs prize high energy density, and only need to last about eight years, grid applications require more cycles, more calendar life--20 to 30 years--and more safety at a lower cost. "Grid economics requires precise life data, which is very time and resource intensive to generate," Babinec said. "We are using approximations that create risk, limit our design creativity, and increase cost."