Product Model | Titan-430kWh+150kW |
---|---|
Cell Parameters | 3.2V280Ah LFP |
Pack Parameters | 1P16S |
Battery Cluster | 1P16S*15 |
System Combination | 2*1P240S |
Rated Energy | 430kWh |
Rated Voltage | 768V |
Operating Voltage Range | 720-850V |
Rated Multiplier | 0.5P |
Photovoltaic Side Parameters | |
Rated Voltage | 600V |
Rated Current | 100A |
MPPT Max. Range | 420-850V |
MPPT Rated Power | 50kW |
Number Of MPPT Channels | 3 |
AC Side Parameters | |
Output Power | 150kW |
Rated Voltage | 380/400V 3W+N+PE |
Rated Trequency | 50HZ |
Response Time | 20ms |
Conversion Efficiency | 98% |
System Parameters | |
Operating Temperature Range | Charge:0~55°C/Discharge: -10~60°C |
Operating Humidity Range | 5-85%RH |
Depth Of Discharge | 80-90% |
Cycle Life | 25+2°C/0.2C/80% DOD≥8000 |
Protection Grade | IP55 |
System Cycle Efficiency | ≥90%@AC |
Cooling Method | Air cooling |
Fire Protection System | Perfluorohexanone |
Dimension | 10FT |
Certification | Cel1:UL1973/EC62619/UL9540A/TUV/CE |
630A DC Battery Combiner Cabinets | |
Product Model | 1000V DC 630A*1 PCS |
Max. Working Voltage | 1000V |
Max. Charge/Discharge Current | 630A |
PCS Power | 250kW-500kW |
Communication Mode | TCP/485/CAN/232 |
Operating Temperature Range | Charge:0~55°C/Discharge: -10~60°C |
Operating Humidity Range | 5-85%RH |
Protection Grade | IP20 |
Fire Protection System | Aerosol |
Dimension | 700*600*1680mm |







GENIXGREEN Titan-430kWh+150kW High Voltage 10 Feet Commercial & Industrial BESS Outdoor LiFePO4 Battery Energy Storage System
Real-time data monitoring
1.7*24 hours real-time and accurate display of operating data of mains electricity, photovoltaics, energy storage, charging piles, and microgrids.
2. Use multi-dimensional data analysis and statistics on energy consumption and income data, and display them visually.
3. Support the remote control of the power station status anytime and anywhere from the site and the cloud.
4. Real-time push of station operation reports
Energy consumption analysis
1. Manage the entire life cycle of equipment and analyze the rules of abnormal points.
2. Data correlation analysis to find the relationship between equipment, strategies and energy consumption.
3. Find energy consumption optimization points and improve energy conversion efficiency.
Intelligent prediction
1. Load prediction and regulation.
2. Demand side response analysis, prediction and management.
3. Photovoltaic power generation forecast analysis.
4. Battery charge and discharge model analysis and SOH prediction.
Efficient management
1. Timely early warning notification of equipment abnormalities and failures.
2. Online and offline 24-hour efficient operation and maintenance management.
3. Centralized control management and operation strategy of the power station.
4. Smart networking large screen, energy cockpit.
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