In the rapidly evolving field of lithium-ion battery technology, understanding and predicting battery health is crucial for applications ranging from consumer electronics to electric vehicles to grid energy storage. Join Ridgetop Group and Idaho National Laboratory to learn about our most recent software development activities in advancing our CellSage battery health modeling, simulation, and analysis software platform. Our enhanced system architecture now includes automated regression analysis methods that streamline the extraction of key model parameters for predicting battery aging.
Key Benefits:
- Proven Patented and Physics-Based Models: CellSage utilizes proven patented methods and physics-based models to ensure accurate predictions of battery health, enhancing reliability and performance.
- Comprehensive Modeling of Aging Mechanisms: Understand how Sigmoidal Rate Expressions (SREs) model battery capacity loss due to key aging mechanisms such as Loss of Lithium Inventory (LLI) and Loss of Active Material (LAM).
- Versatile Application Across Chemistries: Learn about the accuracy of our new methods through comparative analysis of several baseline aging datasets from various battery chemistries, demonstrating the versatility of CellSage.
- User-Friendly Adaptability: Discover how end users leverage this advanced software tool for batteries with relevant baseline aging data, enhancing predictive capabilities under diverse operating conditions.
- Hybrid Modeling Approaches: Explore the benefits of combining physics-based models with AI and machine learning techniques to improve State-of-Health (SoH) estimations, ensuring robust and comprehensive battery management.
Speakers:
- Wyatt Pena, Ridgetop Group, Inc.
- Dr. Kevin L. Gering, Idaho National Laboratory
When:
- Webinar is scheduled for 10AM PT (5PM UTC) on July 31, 2024.
Who Should Attend:
- Battery manufacturers and researchers
- Electric vehicle developers
- Consumer electronics companies
- Energy storage professionals
- Anyone interested in battery technology and predictive analytics
Why Attend?
This webinar offers a comprehensive overview of cutting-edge advancements in battery health modeling. Our experts will guide you through the technical details and practical applications of our enhanced CellSage platform, providing valuable insights for improving battery longevity, safety, and efficiency.
Registration:
Don’t miss this opportunity to gain a deeper understanding of automated methods for predicting battery capacity loss.