150KW iHouse-A150 Container-type Energy Storage System
Model Size | 150kW/150kWh |
Parameters | 150kWh |
Nominal capacity | 150kWh |
Rated radio | 1C |
AC output voltage | 400V |
AC output frequency | 50Hz/60Hz |
Rated power | 150kW |
Work mode | On grid&off grid |
Cycles | ≥4000 |
Ambient temperature | -25℃~+50℃ |
Battery work temperature | 15℃~+35℃ |
Altitude | <3000m |
Container | 10feet |
Protection grade | IP54 |
Fire protection grade | Fire alarm, heptafluoropropane extinguishing |
Weight(kg) | 4500 |
One-stop solution
IHouse provides a turnkey solution that integrates battery pack, PCS system, BMS system, air conditioning system, fire fighting system, monitoring system, etc. The built-in EMS will remotely monitor the operation status and data of the system and intelligently control and coordinate all modules.
Long battery life
Battery life has a direct impact on investment return. Under normal maintenance, the cycle life of the system can reach more than 1 million times. The BMS monitors current, voltage, and other data in real-time, and it will disconnect the battery pack as soon as an abnormality is detected.
Wind-cooling system
In order to provide the battery with an optimal working temperature, the container is specially designed with an independent air duct design, and equipped with special industrial air conditioning, to ensure the heat dissipation of the system.
Modular architecture
The system adopts a modular architecture and is easy to expand. And the capacity can be flexibly configured according to customer requirements.
Fault early warning
Based on the operation of equipment, historical data, abnormal conditions, and the adoption of artificial intelligence algorithms to reflect the pattern of faults, to achieve accurate prediction of faults.
Services we provide
- ·Comprehensive spare parts preparation.
- ·7*24 hours remote data operation.
- ·Real-time SMS gateway and online alarm event response.
- ·Light load operation mechanism during fault periods (if allowed).
- ·Remote cloud-based fault elimination for 75+ fault scenarios (cumulative).
- ·Daily, weekly, monthly, quarterly, half-yearly, and annual operational data analysis and optimization mechanisms.