Unleashing AI on battery development is good news for a warming world. Battery storage is a key factor in increasing the amount of renewable energy on the grid, and when it comes to decarbonizing our energy supply, time is of the essence. After decades of plodding progress, AI-driven battery research promises to finally pick up the pace. “This is all tied back to decarbonisation,” says Chueh. “We want to get there quickly because we don’t have much time left.”
Battery Researchers Look to Artificial Intelligence to Slash Recharging Times
Today’s EV fast-charging technology remains slow by gas-station standards. Faster testing processes for new charging techniques would help.
The battery sector is turning to artificial intelligence for clues on how to improve recharging rates without increasing the degradation of lithium-ion batteries.
Last month, a team from Stanford University, the Massachusetts Institute of Technology and the Toyota Research Institute published findings from battery testing aimed at cutting electric-vehicle charging times down to 10 minutes. The research, published in Nature, revealed how artificial intelligence could speed up the testing process required for novel charging techniques.
The researchers wrote a program that predicted how batteries would respond to different charging approaches and was able to cut the testing process from almost two years to 16 days, Stanford reported. The technique was used to evaluate 224 possible high-cycle-life charging processes in just over two weeks, the researchers said.