As EVs become mainstream and production volumes increase, car companies face new challenges, particularly in determining cell quality. Typically,  vehicle production lines last for several years. Cells over batches that purportedly have the same part number show significant variations, which can lead to safety and performance issues. Recent data has suggested that the expected variation in capacity and impedance values between batches is around 5% and can go as high as 20% in cases where manufacturing protocols are not stringent. This can significantly compromise the pack design that has been optimized for a particular batch. 

These cell variations over batches pose a challenging question: How does a company know the new batch is safe to integrate into the existing design? 

oorja has a solution for this problem in the form of THERMAI, a physics-informed ML-based tool that can help engineers take quick decisions on the safety integrity of a new batch without performing extensive thermal safety tests, which are hazardous, expensive and time-consuming.