Reducing EV Battery Testing by 70%: How AI Solves 3 Key Obstacles

Presented by

Richard Ahlfeld, Jousef Murad

About this talk

In the fast-paced electric vehicle (EV) market, testing batteries has become a significant bottleneck, hindering the timely launch of EVs. The escalating demand and intense competitive pressure to enhance the range and charging times compound this challenge exponentially. Real-world data from a study conducted by Toyota, MIT, and Stanford demonstrates that AI can reduce testing efforts by a remarkable 98%. (Source: Monolith CEO Dr. Richard Alhfeld will explain and demonstrate how you can achieve these same results. Additionally, during the session, Dr. Ahlfeld will discuss how 3 major challenges faced by EV manufacturers can be strategically solved with AI: – 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
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Monolith software is trusted by the world’s top engineering teams including Rolls Royce, Siemens, Honeywell, and BMW to develop better quality products in half the time. Backed by one of world’s largest software investors and recognized by Gartner as a Cool Vendor for AI in Automotive, Monolith AI empowers engineering domain experts in automotive, aerospace and industrial markets to reduce expensive, time-intensive testing, lower risks to product performance and quality, and cut product development time. Featured in Forbes magazine and named one of the UK’s top 100 startups, Monolith AI founder Dr. Richard Ahlfeld received his PhD in Aerospace Engineering from Imperial College and was named to MIT Technology Review’s Top 10 Innovators under 35. Monolith AI is headquartered in London with global enterprise clients worldwide.