Reducing EV Battery Testing by 70% 🔋 | Webinar Trailer скачать в хорошем качестве

Reducing EV Battery Testing by 70% 🔋 | Webinar Trailer

Real-world data from a study conducted by Toyota Motor Corporation, Massachusetts Institute of Technology, and Stanford Universitydemonstrates that AI can reduce testing efforts by a remarkable 98%. 🎬 In our Monolith webinar, my colleague Richard explains how you can achieve these same results: https://lnkd.in/ep_SHFDk Additionally, we will cover: 👉 Early Stopping of Tests: Predicting battery failure after a certain number of cycles for efficient testing. 👉 Lifetime Prediction of Batteries: Ensuring optimal performance and reliability by accurately estimating battery lifetimes. 👉 AI-recommended Test Planning: AI-based models act as a "next test recommender" to identify the tests that provide maximum information gain with human-in-the-loop oversight. Don't miss out on the opportunity to learn how you can reduce EV battery testing by 70%. #automotive #machinelearning #battery