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Product Details

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  • 2.6MW

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Specifications

Items2.6MW
SpecificationsENNP-ESS-2656
Nominal Capacity2655.744kWh
Nominal Voltage1164.8V
Operating Voltage Range1019.2~1328.6V
Battery Management SystemPassive Balancing
Battery TypeLFP-Lithium Iron Phosphate
Battery Voltage Range2.5~3.65V
Standard Charge Rate1C, 25±2℃
Cooling MethodLiquid Cooling
Battery Pack Assembly Method1P52S
Battery Cluster Connection Method1P364S
Battery Cluster Withstand VoltageLeakage Current <1mA (Test Time 60s)
Battery Cluster InsulationMeasurement Value ≥500MΩ (Test Time 60s)
Altitude≤2000m
Operating Temperature-20～60℃
Relative Humidity≤95%RH, No Condensation
Recommended SOC Usage Range5%～95%
Fire Fighting SystemMicro-Particle Detection + Perfluorohexanone (Internal Detection + Cluster Fire Fighting + Total Flooding) + Water Fire Fighting
Running Temperature25±2℃
Battery Compartment Protection LevelIP55
Communication MethodLAN/CAN/RS485
Size (L*W*H)7620*2600*2896mm
Weight36t
Cell Model285Ah
Cell Cycle Life≥5000 Cycles, @25℃, DOD90%, EOL80%


Leader in smart energy storage solutions

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Energy storage business

Wind, solar and storage integration + independent energy storage power station + industrial and commercial energy storage system, one-stop turnkey solution; large-scale delivery, cumulative global shipments exceeding 8GWh, full life cycle service guarantee

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Off-road machinery batteries

No. 1 in market share of aerial work platform battery systems · Top three in mining truck/loader battery industry;
Military-grade protection Industrial-grade reinforced design + IP68 protection + -40℃~85℃ full temperature range operation

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Battery System

Build a full life cycle strategy optimization process from battery parameter extraction, battery model establishment, BMS control strategy improvement, battery system product application, data platform analysis to hardware-in-the-loop verification to ensure safe and reliable operation of the product.

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BMS Product Advantages

With many years of experience in BMS research and development, we have established a rich battery operation database through detailed testing of various battery cells, and based on this, we have developed a high-precision SOX algorithm and a complete fault diagnosis and protection strategy.

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