AI Techniques Used to Improve Battery Health, Safety

Researchers at two U.K. universities have developed a way to predict battery health with 10 times greater accuracy than the current industry standard. A machine learning method developed by researchers at the University of Cambridge and Newcastle University in the U.K. can predict battery health with 10 times greater accuracy than the current industry standard. The new method could help develop safer, more reliable batteries for electric vehicles and consumer electronics. The researchers trained the model by performing more than 20,000 experimental measurements. Said Cambridge's Alpha Lee, "By improving the software that monitors charging and discharging, and using data-driven software to control the charging process, I believe we can power a big improvement in battery performance."