BeiYi Technology Unveils Next-Gen BMS-EAI Intelligent Battery Management Large Model
On 2026/5/8, Beijing Beiyi Technology Co., Ltd. officially launched the next-generation BMS-EAI intelligent battery management large model, deeply integrating AI large model technology into battery management to enable precise battery health assessment, early fault warning, and digital lifecycle control.
Technical Breakthrough
The next-generation BMS-EAI leverages our proprietary large-scale battery management model, with over 10 billion parameters. Trained on data from more than 100 million battery packs and 1000 million charge-discharge cycles, it uses Transformer architecture and LSTM temporal networks to deliver precise state-of-health assessment and fault prediction.
Core Advantages
- Precision Assessment:SOH estimation error ≤ 3%, RUL prediction error ≤ 5% — industry leading
- Early Warning:Early warning 7–30 days before failure, false positive rate ≤1%, preventing unplanned downtime losses.
- Digital Control:End-to-end data visualization management with API integration for third-party systems
Use Cases
BMS-EAI is widely used in drones, robotics, marine vessels, and energy storage systems to deliver intelligent, digital, and traceable battery lifecycle management solutions for customers.
Future Plans
BeiYi Technology will continue to increase R&D investment in AI-powered battery management, drive product iteration and upgrades, expand application scenarios, and support the global intelligent energy transition.