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This presentation showcases a system that predicts the State of Charge (SoC) for a single logical cell with high accuracy, using both classical and AI-enhanced Equivalent Circuit Model (ECM) approaches. The AI-enhanced approach self-corrects for initial offsets and allows for real-time scaling to packs. We will present the end-to-end deployment and real-time application based on AURIX™ Microcontroller. 

Senior Staff Engineer AI Algorithms for Embedded Applications

On-demand webinar: AI-driven prediction of the State-of-Charge for the entire battery pack on AURIX™ Microcontroller
March 10, 2026
00:00 ( CET )