Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Chao Hu is at the School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. The second category, data-driven lifetime prediction, uses ...

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...