Artificial Intelligence (AI) provider Monolith and e-powertrain developer CamMotive have partnered for electric vehicle (EV) battery testing.
The collaboration will combine Monolith’s platform and CamMotive’s battery data with a hybrid modelling technique to detect anomalies in the EV battery development process. It will use physics-based simulations and machine learning methods to identify issues that the firm said may not be detected by traditional rule-based detection systems.
CamMotive said it is building on Monolith’s deployments in laboratory settings by providing operational test data to evaluate how these models can achieve greater accuracy and insights across real-world scenarios. The firm said it wants to reduce reliance on physical testing and to streamline workflows in order to detect faults earlier and conduct testing reviews.
Monolith said it has an objective to cut engineers’ product development cycle in half by 2026.
Dr. Richard Ahlfeld, CEO and founder, Monolith, said: “Our partnership with CamMotive has the potential to make EV battery development faster and more efficient. Training machine learning models with robust, real-world data is what makes AI truly effective, as it means engineers can find reliable ways to save time, achieve performance gains and reduce costs.”
Bruce Campbell, director, CamMotive, said: “Partnering with Monolith gives CamMotive the ability to significantly improve our battery testing process. Monolith’s artificial intelligence technology allows us to use our state-of-the-art test facility more efficiently while generating higher-quality results. The insights we gain through this collaboration will help us detect potential issues earlier, streamline workflows, and enable our engineers to focus on delivering valuable data analysis for our customers.”
Image: CamMotive and Monolith partner for battery diagnostic testing using artificial intelligence for electric vehicles (EV). Credit: Monolith.
