The Vulcan Journey: Predicting Battery Life with Machine Learning & AI

Join us as we follow Vulcan, an automotive manufacturing company, on their mission to tackle a critical challenge: predicting the remaining useful life (RUL) of lithium-ion batteries in their electric vehicle fleet using machine learning. This session will explore the process of implementing a predictive maintenance solution, including:

• Identify the problem and define key metrics.
• Pre-process battery performance data.
• Develop and validate machine learning models for RUL prediction.
• Address challenges like data quality, feature selection and model optimization.

You'll gain practical insights into applying machine learning for real-world predictive analytics, ensuring improved performance, cost savings, and sustainability. This session will provide data scientists, engineers, and managers, with actionable takeaways to guide their own innovation journeys.

Presented as part of Altair's Future.Industry 2025 conference.