Product parameters

Super early and super safe

Build active safety alarm system, roll out up to 42 alarm strategies, and recognize the whole through observation of the part;

AI algorithm assists in early/super early abnormal situation recognition and sub-health diagnosis, seeing the beginning to know the end;

Micro short circuit identification accuracy >93%, thermal runaway alarm timing advance>15min, super safety protection.

“3A” PHM health management

Build “All-round”, “All-process” and “All-coverage” PHM health management system, in order to examine thoroughly the energy storage station’s health and energy efficiency status.

 High-precision sensing

Quickly identify and accurately locate the system’s abnormal situations, and greatly fill existing BMS alarm system’s deficiency;

Precisely correct battery SOX estimation error, and empower battery performance for in-depth optimization.

Technical Indexes

Key technical indexes for energy storage system active safety alarm

Micro short circuit identification accuracy ≥93%, alarm timing advance ≥7 days.

Thermal runaway very early alarm timing advance ≥15min, accuracy ≥95%, positioning precision <0.2m.

Abnormal battery failure testing accuracy ≥90%.

Thermal management system abnormal alarm accuracy ≥95%.

Technical parameters for energy storage station PHM health management

24 cell-level, equipment-level, and station-level diagnosis indexes.

Associated with 42 AI alarm models, overall diagnosis accuracy ≥95%, and under-reporting rate<10%.

Technical parameters for battery status estimation

Battery SOH and SOC estimating error <5%.

Application scenarios

■ Household energy storage: families and small factories and enterprises.

■ Industrial & commercial energy storage: commercial buildings and industrial parks.

■ Source-side energy storage: renewable energy with energy storage, thermal power with energy storage, and independent energy storage.