The official quote goes, "The AI-BMS-on-chip utilizes Eatron's Intelligent Software Layer, loaded onto Syntiant's ultra-low-power NDP120 Neural Decision Processor, providing battery intelligence on edge." If that sounds like a lot of gibberish, it's most likely because it's formulated in a very pretentious way. But tomfoolery aside, what does it actually mean for the electric vehicles of tomorrow?
In short, the on-device AI-BMS-on-chip collects precious battery data that can potentially unlock an EV's latent battery capacity, extend longevity, and even enhance certain safety features.
Thanks to their ongoing partnership, the battery management experts from Eatron Technologies and Syntiant, an edge device AI company, developed a new system-on-chip or SoC that they claim is ready to be installed and provide fixes for issues regarding battery performance, but also for light mobility safety and industrial and consumer electronics applications.
The AI-BMS-on-chip, as they call it, can potentially unlock 10% more battery capacity and raise its lifespan by a up to quarter. Another advantage is that the time-to-market should be reduced. It's all due to Eatron's Intelligent Software Layer integrated into Syntiant's ultra-low-power Neural Decision Processor (NDP120).
Because Eatron's trained models can very accurately measure vital stats like State-of-Health, State-of-Charge, Remaining Useful Life, and other sorts of diagnostic reporting, this should, in turn, lead to an optimization and enhancement of the remaining power.
Regarding safety, its predictive diagnostics capability can potentially detect issues before they even happen. It's a far cry from the Precogs or Precognitives concept from Minority Report with Tom Cruise, but the theory is the same: prevention, not treatment.
Photo: Eatron Technologies and Syntiant
They claim that a local, on-device chip has the real advantage over a cloud-based system in its capacity to analyze data in real-time with no delays from over-the-internet connection issues, unwanted disconnects, loss of signal, etc. Also, everything regarding machine learning or AI privacy and safety should occur locally on the device in question. At WWDC 2024, Apple recently boasted about localized, personalized AI or Apple Intelligence on iOS and macOS devices.
Mallik P. Moturi, Chief Business Officer at Syntiant Corp, said, "It enhances battery life, safety and performance. This makes it perfect for everything from consumer electronics all the way to commercial vehicles."
In addition to wireless washing machines, microwaves, toasters, coffee makers, or battery-powered camping equipment, this "plug-and-play solution" can be used for e-bikes or e-scooters, light commercial vehicles, regular EVs, electric buses or other public transport vehicles, and even forklifts.
"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," said Amedeo Bianchimano, Chief Product Delivery Officer at Eatron Technologies.
Eatron & Syntiant's AI-BMS-on-chip is now available for customers to use in real-life circumstances. Between June 18 and June 20, the developers will demonstrate the technology's capabilities at the 2024 Battery Show Europe taking place in Messe Stuttgart, Germany.
Codrin just loves American classics, from the 1940s and ‘50s, all the way to the muscle cars of the '60s and '70s. In his perfect world, we'll still see Hudsons and Road Runners roaming the streets for years to come (even in EV form, if that's what it takes to keep the aesthetic alive). Full profile
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