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      Home » Infineon & Eatron Extend Partnership for AI-Powered BMS

      Infineon & Eatron Extend Partnership for AI-Powered BMS

      Rashmi VermaBy Rashmi VermaFebruary 25, 2025 EV Battery 2 Mins Read
      Infineon & Eatron Extend Partnership for AI-Powered BMS
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      Infineon Technologies AG and Eatron has extended their existing partnership for battery management solutions (BMS) in automotive to a comprehensive BMS portfolio including various industrial and consumer applications. Enabled by Infineon’s PSOC™ microcontrollers, this collaboration brings together the benefits of AI-powered battery optimization software and advanced power semiconductor components to create a cutting-edge solution that minimizes degradation, detects safety issues, and enhances performance and reliability of battery-powered systems.

      The technology integrates Eatron’s AI-powered BMS software, based on pre-trained models, featuring SOX, RUL and Safety Diagnostic, with Infineon’s components including MOSFETs for battery protection and PSOC 6 AI-based battery management system for state-of-the-art machine learning capabilities. This enables customers to unlock a range of benefits, including accurate predictions of State of Charge (SOC) of batteries, lower system cost and a faster time-to-market. The partnership addresses the growing demand for advanced battery management systems in industrial and consumer markets, such as light electric vehicles, portable electronics, energy storage systems, robotics, and power tools.

      The battery management and optimization market is expanding rapidly, driven by the increasing demand for more energy usage, longer battery life, and predictive maintenance. AI plays a key role in improving battery performance making the Eatron-Infineon technology a leading solution for applications including robotics, wearables, portable medical devices, smart home devices and appliances, battery-powered IoT products, and low-power energy storage solutions.

      Eatron’s software has been pre-validated and deployed on Infineon’s PSoC. It has been benchmarked on an application comprising up to 24 cells, against traditional techniques that require extensive cell characterization. The evaluation was conducted using a commercially available LG Chem INR21700 M50 cell across a broad temperature range (0–45°C), demonstrating comparable results. These findings underscore the strong value proposition of Eatron-Infineon technology.

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      AI-Powered BMS Eatron Infineon Technologies AG MOSFETs Safety Diagnostic State of Charge
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      Rashmi Verma

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