Scientists have developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying machine learning methods to battery performance data. The model proved able to accurately estimate batteries’ longevity by analyzing their charge, discharge and voltage relaxation process data without relying on any assumption about specific battery degradation mechanisms. The technique is expected to be useful in improving the safety and reliability of devices powered by lithium-metal batteries.
