IDMBAT – An intelligence battery data management program
Type: Active Collaborative Project funded by InnovateUK
Competition: Faraday Battery Challenge Round 3
Partners: ANSYS Granta, Intellegens, University of Birmingham
This project is developing new tools to speed up the manufacturing processes of batteries, using artificial intelligence to reduce fabrication and development costs while improving key battery metrics. Intellegens’ role is to provide their cutting-edge deep learning predictive models (Alchemite™) for process parameter prediction. ANSYS Granta will build and test the data platform and the University of Birmingham will bring battery technical leadership and will host a small-scale manufacturing facility to generate data. The new intelligent data management platform will enable battery technology manufacturers to overcome technical and commercial barriers.