Infineon and Eatron Revolutionize Battery Management

Infineon and Eatron have teamed up to integrate machine learning and sophisticated algorithms into the Aurix TC4x microcontroller (MCU) to enhance automotive battery management systems (BMS). Using the MCU’s built-in parallel processing unit (PPU), Eatron can boost the performance and accuracy of its AI-driven battery management software.

This collaboration aims to tackle three major issues that have been barriers to the wider adoption of electric vehicles (EVs): range anxiety, charging speed, and battery health. According to Umut Genc, CEO of Eatron, the Aurix TC4x PPU allows for advanced AI-based battery diagnostics, detecting issues like lithium plating, and offering prognostics such as battery state of health, aging trajectory, and predicting remaining useful life directly at the edge.

The embedded PPU, a vector digital signal processor, reduces computation time compared to standard CPUs. To simplify its use, Infineon provides an automated toolchain within its ecosystem that converts existing models into optimized vectorized code.

Thomas Boehm, senior vice president at Infineon, highlighted that the new Aurix TC4x series is designed to boost the efficiency of various xEV applications. He expressed pride in announcing that the Aurix TC4x overcomes past computational limitations, enabling customers to leverage high-precision models and algorithms fully. This marks a significant step forward in electromobility technology, particularly for battery management systems (BMS). Boehm also acknowledged the importance of partners like Eatron in serving this evolving market.