Automotive

A.I. Method Could 'Supercharge' Electric Vehicle Battery Development

Advances in electric vehicle batteries have often been limited by the enormous bottleneck of evaluation times. At each stage of the battery development process, new technologies must be tested for months or up to years to determine how long they will last. Now, Stanford University  researchers have developed a machine learning-based method that cuts these testing times by 98 percent. The researchers tested the method on battery charge speed, but say that it can be applied to many other parts of battery development. The breakthrough method could make the dreams of recharging an electric battery in the time it takes to stop at a gas station a more likely reality.