Currently focused on the automotive sector their collaboration has now been extended to a comprehensive BMS portfolio that covers various industrial and consumer applications.
Enabled by Infineon’s PSOC microcontrollers, the collaboration brings together AI-powered battery optimisation software and advanced power semiconductor components to create a solution that minimises 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 combination 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 looks to address 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 market is expanding rapidly, driven by the increasing demand for more energy usage, longer battery life, and predictive maintenance and AI is being used to plays a key role in improving battery performance making the Eatron-Infineon technology an important 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 and 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.
"Our collaboration with Eatron brings AI-powered battery optimisation software to a wide range of industrial applications,” said Cuauhtemoc Medina, Industrial Application Manager at Infineon. “Our PSOC microcontrollers, with their advanced machine learning capabilities, are a great fit for Eatron's AI-powered software suite, enabling customers to unlock new levels of performance, reliability, and safety in their battery-powered systems,”
“Combining our Advanced SoX and predictive diagnostics software, integrated on the PSOC family will provide market-leading battery management and diagnostics in various industrial applications,” said Dr Umut Genc, CEO of Eatron.