AI accurately predicts the useful life of batteries, Stanford and MIT researchers find

MIT professor Richard Braatz, left, and William Chueh, assistant professor in materials science and engineering at Stanford, led researchers at their institutions who developed a better battery testing technique.
Mar 25 2019
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A team of researchers from MIT and Stanford have developed a machine learning method that could accelerate research and development of new battery designs and reduce production costs, among other applications. The machine learning model was trained with a few hundred million data points of batteries charging & discharging. The algorithm predicted battery life expectancy and has other applications for fast charging and validating new types of batteries.