Dynamically Typed

Gaussian processes for battery RUL estimation

In a new paper for Nature, Zhang et al. (2020) used Gaussian processes to forecast the health and remaining useful life (RUL) of Lithium-ion batteries, the type of battery used in smartphones and electric cars, based on real-time, non-invasive electrochemical impedance spectroscopy (EIS) measurements. Reliable EIS-based RUL estimation can be used to improve the usability and recyclability of these batteries, which will be critical as we electrify the economy.