Foto: Monolith
Monolith, a provider of artificial intelligence (AI) software to the world’s most innovative engineering teams, has been selected by NIO to collaborate on AI-driven anomaly detection in the batteries of the company’s electric vehicles.
NIO’s battery replacement technology offers a unique opportunity to gain new insights into the real-world daily use of batteries. NIO will utilise Monolith’s anomaly detection AI software to monitor battery performance based on field data. These insights will serve as a basis for comparison with battery test bench data and will be integrated into further verification activities. Monolith’s automatic anomaly detection, called Anomaly Detector, enables NIO engineers to detect abnormalities in results across multiple channels at unprecedented speed, based on complex system relationships.
Thanks to Monolith’s self-learning algorithms, anomalies in battery test data can now be found faster and more efficiently. This is done by automating the inspection of raw data to detect potential faults or anomalies in hundreds of test channels. In addition to automated inspection of battery test bench data, the Monolith AI platform includes unique advanced algorithms to reduce the number of physical tests and simulations required to successfully develop products with highly complex physics throughout the design cycle. Using valuable but limited engineering data, the AI software enables instant predictions and gives engineers the ability to identify areas for optimisation and development without the need for extensive, time-consuming physical testing.
