UK-based Eatron Technologies and About:Energy have been awarded funding from UKRI’s Faraday Battery Challenge to develop a first-of-its-kind AI-powered decision engine that delivers increased battery longevity and accelerates time-to-market.
The companies say at present Battery Management Systems (BMS) rely on simple, empirical methods that sacrifice accuracy in return for reduced computational effort. Conventional AI-powered methods, meanwhile, remain challenging to integrate within the BMS due to their complexity, demanding training process, and the need for large volumes of input data.
