Infineon Technologies AG and Eatron Technologies are partnering to bring advanced machine learning solutions and algorithms to the AURIX TC4x microcontroller (MCU). The partnership is aimed at advancing automotive battery management systems (BMS).

With the state-of-the-art machine learning capabilities of the MCU family with integrated parallel processing unit (PPU), Eatron is able to maximize the performance and accuracy of its AI-powered battery management software.

Together, the two companies seek to help electric vehicle (EV) manufacturers solve three technological challenges that have so far hindered increasing customer adoption of EVs: range anxiety, charging speed and battery health.

The PPU, an on-chip single instruction, multiple data (SIMD) vector digital signal processor (DSP), significantly reduces computation time compared to traditional CPUs. For ease of use, Infineon offers an automated toolchain within its ecosystem to ensure the most convenient and efficient handling of the PPU. For example, an automated toolchain helps customers to automatically convert existing models into vectorized code.

Eatron develops AI-powered edge-to-cloud connected software platform for better, safer, durable, and greener batteries in automotive, mobility and beyond.