New energy battery

Application scenarios

Real-time Monitoring of Critical Battery Areas
Ultra-thin flexible sensor arrays can real-time monitor pressure, temperature, and other parameter conditions in critical battery areas, precisely identifying expansion force changes and temperature anomalies.
Battery Safety Warning and Health Management
Based on data collection, early thermal runaway risk warning is achieved, and through AI algorithms, high-precision estimation of battery State of Charge (SOC) and State of Health (SOH).
Plug-and-play Efficient Deployment Solution
Flexible design adapts to complex curved surfaces, simplifying installation and deployment processes without requiring battery structural modifications.
Remote Operation and Maintenance Support for Energy Storage Equipment
Remote monitoring capabilities combined with machine learning algorithms optimize battery safety and service life, providing full life-cycle intelligent operation and maintenance support for energy storage systems.

Technical features

Real-time Monitoring + AI Algorithms Protect Battery Safety

Ultra-thin, ultra-flexible sensor arrays integrate pressure and temperature dual-modal sensing, real-time capture of battery expansion force and temperature anomalies, early warning of thermal runaway risks, improving battery safety and service life through precise SOC/SOH estimation.

Plug-and-play Design Reduces System Deployment Costs

Sensors adopt flexible design, adapting to battery complex curved surfaces, requiring no structural modifications, supporting rapid installation and deployment, effectively reducing deployment and maintenance costs.

Energy Storage Station Remote Operation and Maintenance, Full-cycle Operation and Maintenance Efficiency Enhancement

Remote monitoring capabilities combined with machine learning algorithms provide full life-cycle operation and maintenance support for energy storage stations, reducing safety risks and improving energy storage system operational efficiency.