Infineon and Eatron Create Smarter Batteries With AI

The demand for advanced battery management solutions has never been higher as industries worldwide push for more energy-efficient and longer-lasting battery-powered systems. Manufacturers of electric vehicles, robotic solutions, and medical devices are concerned about batteries’ performance and longevity. Solutions that can predict battery health, optimize energy use, and prevent degradation are critical.

Infineon Technologies and Eatron have stepped up to meet these needs by expanding their collaboration to create a comprehensive battery management system (BMS) that combines artificial intelligence and advanced power semiconductors. This technology integrates Eatron’s AI-driven battery optimization software with Infineon’s PSOC microcontrollers, offering significant improvements in battery performance, safety, and reliability across applications from industrial to automotive and consumer devices.

EV car battery pack. Image courtesy of Adobe Stock

BMS Key Features

The heart of the collaboration lies in integrating Eatron’s AI-powered BMS software with Infineon’s PSOC microcontrollers. Eatron’s software features advanced capabilities like state of charge prediction, safety diagnostics, and remaining useful life estimation. These features enable real-time battery health assessments and predictive maintenance, helping to minimize unexpected failures and extend battery life. With the combination of AI and semiconductor components also ensuring faster, more accurate diagnostics, Infineon and Eatron are giving users a clearer understanding of their battery systems’ health and efficiency. With these predictive capabilities, the technology goes beyond just optimization to actively prevent potential issues before they arise.

Applications

Infineon and Eatron’s BMS addresses various industries, from energy storage systems to robotics. By improving battery health management, the solution is ideal for applications like electric vehicles and battery-powered IoT products, where energy efficiency and system longevity are crucial. The technology allows for lower overall system costs, faster market deployment, and improved battery reliability. AI integration can provide an extra layer of precision in battery management, ensuring that each battery operates at its peak potential throughout its lifecycle.

AI plays a crucial role in advancing battery management systems by providing more than just efficiency improvements. Traditional battery management systems often rely on static algorithms, and these algorithms do not reliably adapt to changing conditions at this time, which can lead to reduced effectiveness over time. In contrast, Infineon and Eatron’s system utilizes AI to analyze large or varying amounts of data in real time. These capabilities allow it to dynamically adjust battery management strategies based on various factors such as temperature, load, and charging cycles. This adaptability enhances both battery performance and safety.

Battery forecast. Image courtesy of Eatron

Eatron’s Software Test

Eatron's AI-powered battery management software has been thoroughly tested and validated on Infineon's PSoC platform. Testing involved managing up to 24 battery cells using standard LG Chem cells across a wide temperature range. The software delivered results comparable to complex traditional methods. This testing proves its ability to accurately predict battery status without extensive individual cell testing.

Infineon and Eatron’s BMS provides a much-needed solution to the increasing need for longer-lasting, more efficient battery systems across industries. By utilizing AI with advanced power semiconductor technology, they have essentially created a system that optimizes battery performance.