As artificial intelligence technology becomes increasingly prevalent in every aspect of our lives, Eatron Technologies and Syntiant have leveraged their respective expertise to jointly develop an AI-driven Battery Management System (BMS) aimed at enhancing battery lifespan.
Image source note: The image was generated by AI, with image authorization provided by Midjourney.
The AI-BMS-on-chip technology monitors the battery's state of health (SoH) and state of charge (SoC) with greater precision than traditional BMS units, unlocking an additional 10% capacity from the battery and extending its lifespan by 25%. Syntiant's NDP120 Neural Decision Processor can analyze battery performance in real-time and utilize predictive diagnostics to identify potential issues early, making decisions to prevent failures, enhance battery safety, and optimize performance.
This technology holds significant implications for the electric vehicle industry, extending the range and battery replacement intervals for both automobiles and personal electric vertical takeoff and landing vehicles, potentially saving consumers a substantial amount of money. Moreover, with its predictive capabilities, the technology can also reduce the risk of battery failure at critical moments, such as when you are traveling home from work in a personal electric aircraft at 200 feet above the ground.
Traditional lithium-ion batteries typically begin to degrade after 500-1,000 charge cycles, whereas Eatron Technologies' AI BMS could extend this to 625-1,250 cycles. LiFePO4 batteries, increasingly common in off-grid and RV applications, can achieve up to 5,000 charge cycles. The NDP120 technology could potentially increase these numbers to an astonishing 6,250 cycles or more.
Eatron will showcase its AI-BMS-on-chip technology at the 2024 European Battery Show in Stuttgart, Germany, this week.