Tiny Battery-Management SoC is Powered by AI

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Tiny Battery-Management SoC is Powered by AI

Eatron Technologies has launched an innovative battery-management system (BMS) on a chip, co-developed with Syntiant Technologies. This AI-driven solution enhances the monitoring of lithium-ion batteries, crucial for applications in electric vehicles and consumer electronics. By integrating advanced AI models, the system can optimize battery performance and extend lifespan significantly.

The collaboration between Eatron and Syntiant allows for real-time diagnostics and predictive maintenance, addressing common issues like lithium plating. This technology not only improves energy efficiency by up to 10% but also enhances safety by preventing potential failures. The AI BMS-on-chip is designed to be easily integrated into existing systems, making it a versatile solution for various battery-powered applications.

• AI models enhance battery management and diagnostics in real-time.

• The BMS-on-chip can extend battery life by up to 25%.

Key AI Terms Mentioned in this Article

Battery Management System (BMS)

The BMS is essential for ensuring the safe operation of lithium-ion batteries, preventing issues like overcharging and thermal runaway.

Neural Decision Processor (NDP)

The NDP120 integrates Eatron's BMS software to provide real-time battery assessments and diagnostics.

Predictive Diagnostics

This capability allows the BMS to identify issues like lithium plating, enhancing overall battery safety.

Companies Mentioned in this Article

Eatron Technologies

Eatron's collaboration with Syntiant has led to the development of an AI-powered BMS-on-chip that optimizes battery performance.

Syntiant

Syntiant's NDP120 is integral to the new BMS, enabling advanced battery diagnostics and management.

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