AI-BMS Chip Boosts Battery Life

Every day, artificial intelligence technology continues to advance in various aspects of our daily lives. A recent collaboration between Eatron Technologies and Syntiant serves as a prime example of this progression. Together, they have developed a new AI-based Battery Management System (AI-BMS) that shows great promise in significantly extending the lifespan of batteries.

The AI-BMS chip, integrated directly into the battery, has been shown to increase its capacity by 10% and extend its service life by 25%. This advancement opens up new possibilities for a wide range of industries. The key to this success lies in the system’s ability to more accurately monitor the State of Health (SOH) and State of Charge (SOC) of the battery compared to traditional control systems.

This breakthrough technology is built around Syntiant’s NDP120 neural processor, which performs real-time analysis of the battery’s performance and utilizes predictive diagnostics to detect potential issues early on. By proactively addressing these problems, decisions can be made to prevent failures, enhance safety, and optimize battery performance. Importantly, the NDP120 can be easily integrated into existing batteries for use in both commercial and consumer electronics applications.

The benefits of this chip are especially evident in the electric vehicle (EV) and personal aircraft industries, where even minor improvements in battery capacity and cycle life can have a significant impact. Conventional lithium-ion batteries typically start to degrade after 500-1000 charging cycles. With the new system from Eatron Technologies, this lifespan can be extended to 625-1250 cycles. Additionally, for Lifepo4 batteries commonly used in autonomous and camping applications, the number of cycles could potentially increase from 5000 to 6250 and beyond.