New machine learning method from Stanford, with Toyota researchers, could accelerate battery development for EVs
Green Car Congress
FEBRUARY 20, 2020
At every stage of the battery development process, new technologies must be tested for months or even years to determine how long they will last. Now, a team led by Stanford professors Stefano Ermon and William Chueh has developed a machine learning-based method that slashes these testing times by 98%. The study is published in the journal Nature. Here we develop and demonstrate a machine learning methodology to efficiently optimize a parameter space specifying the current and voltage profiles o
Let's personalize your content