Eatron Technologies, a specialist in battery management, and Syntiant, a leader in edge AI, have collaborated on the development of a new system-on-chip that aims to address battery performance and safety challenges in light mobility, industrial and consumer electronics applications.
The AI-BMS-on-chip integrates Eatron’s Intelligent Software Layer with Syntiant’s low-power NDP120 Neural Decision Processor to unlock up to 10% additional battery capacity and extend battery lifespan by up to 25%.
According to the companies, the AI-BMS-on-chip delivers high performance and efficiency by integrating pre-trained models from Eatron to provide accurate state-of-health, state-of-charge and remaining useful life assessments. These capabilities are designed to help maximize available power and include predictive diagnostics to detect potential battery issues early.
“Our NDP120 allows Eatron’s software to process all the data on the edge for batteries,” said Mallik P Moturi, chief business officer at Syntiant Corp. “It enhances battery life, safety and performance. This makes it perfect for everything from consumer electronics all the way to commercial vehicles.”
Using the efficient processing power of Syntiant’s NDP120, the chip can operate on the edge, enabling real-time analysis and decision making directly on the device. The company says this approach eliminates the need for complex cloud infrastructure, reducing latency and power consumption.
The solution can also be customized through a user-friendly toolchain, enabling optimization for specific applications including consumer electronics, e-bikes, micro light commercial vehicles (LCVs) and forklifts.
“We are now running our latest AI models completely integrated on the edge in the Syntiant chip,” said Amedeo Bianchimano, chief product delivery officer at Eatron Technologies. “With AI-BMS-on-chip, we can ensure any battery-powered application can be deployed in the millions in complete safety while getting the most out of the battery.”
Eatron and Syntiant are demonstrating the AI-BMS-on-chip at The Battery Show Europe 2024 on June 18-20 at Messe Stuttgart, Germany.
