1. Plug and play Play and plug in
2. The system has high energy density, saving transportation costs and installation space
3. Reduce the operational risks of the installer in the installation process and improve product stability
4. The whole system is intelligently designed, and the full-time BMS balance keeps the SOC more accurate, improves the consistency of the battery cells and ensures a working life of more than 10 years for the system
5. Integrate air conditioning system and fire protection system. Improve product stability and safety
5. Support multi-machine parallel system (AC convergence), such as when connected to the power grid, the parallel connection is not limited by quantity. Off-grid parallel operation <4 sets (need to distinguish the customer’s off-grid load type and load power)
6. Use cloud AI to accurately evaluate the battery status, understand the battery health status and SOE tracking, optimize the algorithm based on the hybrid model combining electrochemistry and artificial intelligence, and evaluate the key factors causing battery lithium deposition and thermal runaway through the algorithm generated by multiple iterations of massive battery data combined with electrochemistry and massive battery data
◆ Active abnormal monitoring of battery cell and module failures
◆ AI enables battery fault warning, fault tracking and root cause analysis
◆ Accurately evaluate and predict battery health
◆ Support various scenarios such as battery health management, safety warning, asset evaluation and cloud-based adjustment of charging and discharging
7. Cloud-based battery management and intervention, cloud-based intervention on charging and discharging behavior combined with battery health status and battery characteristics, intelligent judgment of charging and discharging, and extension of battery life. Battery warning, battery safety warning evaluation of user charging and discharging behavior.
8. Energy storage battery traceability management, remote upgrade and rollback mechanism of communication software version, traceability information reporting and management of energy storage battery throughout its life cycle.
9. APP operation and management, AI digital operation and management. Let you see the battery at a glance.
10. Use statistical software such as ANSYS, Time Series, Gaussian distribution, Multiple Regression, etc. to analyze battery health, life and other performance and implement machine learning, deep learning optimization, etc.