Scientists at Stanford University are harnessing machine learning (ML) to design better batteries. In addition to using ML to speed up scientific analysis by looking for patterns in data, the researchers combined it with knowledge gained from experiments and equations guided by physics to discover and explain a process that shortens the lifetimes of fast-charging… Read more »

A new lithium-based electrolyte invented by Stanford University scientists could pave the way for the next generation of EVs. In a study published in Nature Energy, Stanford researchers demonstrated how their novel electrolyte design boosts the performance of lithium metal batteries. “Most electric cars run on lithium-ion batteries, which are rapidly approaching their theoretical limit… Read more »

Battery performance can make or break the EV experience, from driving range to charging time to the lifetime of the car. A team led by Stanford Professors Stefano Ermon and William Chueh has developed a machine-learning algorithm that could lead to longer-lasting, faster-charging batteries. For decades, advances in EV batteries have been limited by evaluation… Read more »

Scientists at MIT, Stanford and the Toyota Research Institute (TRI) have developed an AI algorithm that they say can accurately predict the useful life of Li-ion batteries. The algorithm analyzed factors such as voltage decline to make predictions as to how many more cycles a battery would last. The predictions turned out to be within… Read more »