Eatron Technologies and About:Energy win UKRI’s Faraday Battery Challenge to develop AI-powered powered BMS for EVs

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. The new project – dubbed aiMAGINE – will bring together About:Energy’s high-fidelity electrochemical battery models that achieve rapid and accurate calibration with Eatron’s unique edge and AI-powered cloud platform. Together, they will deliver highly accurate assessments of state-of-charge (SoC), state-of-health (SoH) and patented remaining useful life (RUL) predictions.

The AI will complement the electrochemical models, enhancing predictions by accounting for complex physical behaviours that cannot be modelled. As a result, the new AI-powered decision engine (AI-DE) will provide highly accurate operational parameters to the BMS, significantly increasing battery pack longevity and simplifying integration.

Dr Umut Genc, CEO of Eatron said, “Implementing our novel AI-powered intelligent battery software layer with this revolutionary AI-DE can extend a battery pack’s first life by up to 20%. This makes it possible for OEMs to design optimally-sized, more cost-effective battery packs, and this actively contributes to our sustainable e-mobility goals by reducing raw material consumption and CO2 emissions.”

Dr Kieran O’Regan, Co-Founder and COO, About:Energy said, “The use of our advanced electrochemical models vastly streamlines AI model training, and this facilitates both ease of integration and a reduced time-to-market for OEMs and Tier 1s. The high-fidelity modelling reduces the need for physical experiments while delivering a clearer, more accurate picture of battery health. Armed with this information, an AI-DE-equipped BMS can deliver not just a longer battery lifetime, but faster charging times, too.”

The partners say they will capitalise on their existing relationships with OEMs and Tier 1 suppliers to develop the system for use in both two- and four-wheeled electric vehicles. The two businesses collaboratively applied for the grant after sowing the seeds for a partnership at the Battery Technology Global Business Innovation Programme in Japan, where Innovate UK brought together some of the UK’s most promising innovators in the battery development and technology space.

The funding from UK Research and Innovation’s Faraday Battery Challenge, delivered by Innovate UK, is part of an 11 million sterling pounds (Rs 112 crore) package that aims to accelerate the development and commercialisation of state-of-the-art battery technologies in the UK and support growth of the supply chain in the UK battery sector.

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