Can’t attend live? Register anyway, and we’ll send you a link to the slides and a video of the webinar when it’s finished.

In this webinar, AVL experts present battery safety as a data-driven, real-time control challenge and introduce State of Safety (SoS) as a composite index derived from BMS measurements and advanced models.

The experts will explain how advanced electrochemical models, AI, and cloud analytics enable early detection of battery safety risks, supporting proactive mitigation and adaptive control strategies before critical failures occur.

What you’ll learn:

• How advanced hybrid models combining electrochemical, physics-based, and AI approaches enable more accurate battery safety assessment and risk prediction
• How SoS enables continuous, real-time evaluation of battery risk and supports proactive protective actions before critical conditions arise
• How aging, fast charging, and demanding operating conditions reduce safety margins and increase the need for adaptive monitoring and prediction of internal battery states
• How the combination of physical and virtual sensors improves observability and enables the detection of hidden degradation and failure mechanisms
• How cloud-connected analytics and fleet learning enhance predictive safety through early anomaly detection and continuous optimization via OTA updates