UK-based AI software provider Monolith and Chinese EV automaker’s regional division NIO Europe have teamed up to develop AI-driven anomaly detection in NIO’s EV batteries. Monolith’s AI-driven Anomaly Detector software will help NIO and Monolith engineers recognize abnormalities in cross-channel results at an unprecedented rate based on complex system relationships.
NIO’s battery swap technology presents a unique opportunity to discover new insights into real-world, daily usage of batteries. It will use Monolith’s Anomaly Detector AI software to monitor performance from data generated in the field. These learnings will build a basis for comparing test-bench results and will be integrated into further verification activities. With Anomaly Detector, NIO and Monolith engineers can recognise abnormalities in cross-channel results at an unprecedented rate based on complex system relationships.
“Monolith’s deep-learning algorithms allow for automatic detection of battery issues, such as spontaneous discharge and thermal runaway, making it easier to analyse complex real-world data quickly. This capability not only saves time and resources but also enhances battery safety. As a leader in software-defined vehicles, NIO is the ideal partner to leverage this advanced technology, driving innovation in battery performance and safety.”
Dr. Richard Ahlfeld, CEO and Founder of Monolith
In addition to automatic inspection of test data, the Monolith AI platform includes unique, advanced algorithms to reduce the amount of physical testing time and simulations required to successfully develop products with highly complex, intractable physics throughout the design cycle. Using valuable and sometimes limited engineering test data, the AI software makes instant predictions and enables engineers to identify areas where optimisation and development are required, without the extensive need for repetitive, time-consuming physical tests.
