HomeSpecialAI Battery Chip For More Power And Longer Life

AI Battery Chip For More Power And Longer Life

The AI-powered system unlocks up to 10% more battery capacity and extends life by 25%, improving performance, safety, and longevity for battery-powered applications.

AI-BMS-on-chip
AI-BMS-on-chip

Eatron Technologies, in collaboration with Syntiant, has introduced the AI-powered Battery Management System on Chip (AI-BMS-on-chip). This solution combines Eatron’s Intelligent Software Layer with Syntiant’s NDP120 Neural Decision Processor, improving battery performance, safety, and longevity.

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The company claims the system unlocks up to 10% more battery capacity and extends battery life by up to 25%. With pre-trained AI models, it provides state-of-health, state-of-charge, and remaining useful life assessments with accuracy from the start. Companies manufacturing electric vehicles, drones, robots, portable electronics, and other battery-powered devices can benefit from this solution. 

The key benefits of our Battery Management System on Chip include performance through state-of-charge and health estimations that maximize battery capacity. It also improves safety by using predictive diagnostics to detect potential issues early, preventing failures and ensuring operation. Additionally, it increases battery longevity by managing battery health and usage.

A key feature of the AI-BMS-on-chip is its ability to perform real-time analysis and decision-making directly on the device. Using Syntiant’s NDP120’s processing power, the solution operates on the edge, eliminating the need for complex cloud infrastructure. This reduces latency, power consumption, and overall system costs.

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Designed for integration, the AI-BMS-on-chip improves performance, safety, and longevity across various battery-powered applications, including light mobility and industrial and consumer electronics. This plug-and-play solution speeds up time-to-market and can be customized using a user-friendly toolchain to meet the specific needs of each application. 

“With AI-BMS-on-chip, we will enable any battery-powered application to be deployed in the millions in complete safety and getting the most energy out of the battery,” said Amedeo Bianchimano, Chief Product Delivery Officer at Eatron Technologies. Mallik P. Moturi, Chief Business Officer at Syntiant Corp., added, “Our NDP120 allows Eatron software to process all the data on the edge for batteries, enhancing battery life, safety, and performance. This makes it perfect for everything from consumer electronics to commercial vehicles.”

For more information, click here.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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