Key Takeaways

• Infineon Technologies and Eatron enhance their partnership to develop a comprehensive battery management solution for both automotive and industrial applications.
• The collaboration leverages AI-powered software and Infineon’s advanced microcontrollers to optimize battery performance and reliability.
• The growing battery management market is driven by demands for longer battery life and predictive maintenance in various sectors, from electric vehicles to IoT devices.

Expanded Partnership for Advanced Battery Management Solutions

Infineon Technologies AG, a leading semiconductor manufacturer recognized for its power systems and Internet of Things (IoT) solutions, has expanded its collaboration with Eatron, an innovator in artificial intelligence (AI) battery optimization software. The updated partnership aims to deliver a robust Battery Management System (BMS) portfolio that spans not just automotive applications but also various industrial and consumer sectors.

Infineon’s key contributions include its PSoC microcontrollers, which integrate Eatron’s sophisticated BMS software. This software employs AI and utilizes pre-trained models to track battery performance, implementing metrics such as State of Charge (SoC), Remaining Useful Life (RUL), and safety diagnostics. By combining Eatron’s AI capabilities with Infineon’s high-performance semiconductor components—like MOSFETs for battery protection—this partnership promises to mitigate battery degradation, enhance safety, and improve the overall reliability of battery-powered systems.

The integration of these technologies holds significant advantages for customers, such as predictive insight into battery state, reduced overall system costs, and an expedited market entry for new battery-powered products. This is particularly relevant in industries that rely heavily on effective battery management—including light electric vehicles, portable electronics, energy storage solutions, robotics, and power tools.

Currently, the battery management and optimization market is witnessing rapid growth, spurred on by a rising need for efficient energy consumption, longer-lasting batteries, and predictive maintenance functionalities. AI plays a crucial role in enhancing battery performance, making the advanced Eatron-Infineon technology suitable for an array of applications, including robotics, wearable technology, portable medical devices, smart home gadgets, and IoT products demanding low-power energy storage solutions.

Eatron’s software has already been pre-validated and applied to Infineon’s PSoC microcontrollers in real-world applications. Benchmarking tests have demonstrated notable achievements with configurations including up to 24 cells, validating the pre-validation against traditional methods that necessitate extensive cell characterization. Evaluations utilized a commercially available LG Chem INR21700 M50 cell, tested across a temperature spectrum of 0–45°C, yielding comparable performance results to established techniques.

Cuauhtemoc Medina, Infineon’s industrial application manager, expressed enthusiasm over the partnership: “We’re excited to collaborate with Eatron to bring AI-powered battery optimisation software to a wide range of industrial applications. Our PSOC microcontrollers, with their advanced machine learning capabilities, are the perfect fit for Eatron’s AI-powered software suite, enabling customers to unlock new levels of performance, reliability, and safety in their battery-powered systems.”

Umut Genc, CEO of Eatron, echoed this sentiment, stating: “We are excited to expand our partnership with Infineon, combining our Advanced SoX and predictive diagnostics software integrated on the PSOC family, to provide market-leading battery management and diagnostics in various industrial applications.”

As the demand for sophisticated battery management systems continues to evolve, this partnership represents a significant step towards meeting the future needs of industries that rely on cutting-edge battery technologies.

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