In terms of startup capabilities, it is impressive. It can handle the inrush current of heavy-duty appliances with ease. When you turn on a large compressor or an industrial motor, there is often a significant initial surge in current. The inverter is equipped with a robust startup circuit that can provide the necessary extra power for a short period to get these appliances up and running smoothly. This prevents tripping of circuit breakers and damage to the inverter itself, allowing for reliable operation even with the most demanding loads.
Artificial Intelligence and Machine Learning for Predictive Maintenance: Leveraging artificial intelligence (AI) and machine learning (ML) techniques, inverters can predict maintenance needs. By analyzing vast amounts of historical data on operating parameters, temperature trends, and fault occurrences, AI and ML models can identify patterns that precede component failures. These models can predict when a particular component is likely to fail and recommend preventive maintenance actions. This proactive approach reduces unplanned downtime, extends the inverter's lifespan, and saves on repair costs.
The factory has a digital transformation strategy. We are implementing Industry 4.0 technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. These technologies are used to monitor production equipment in real-time, predict maintenance needs, optimize production processes, and improve overall productivity.

| Model |
SUN-10K
|
|
Battery
|
Lead-acid / Li-lon
|
|
Battery Voltage
|
40~60V
|
|
DC Input Power
|
13000W
|
|
MPPT
|
200-650V
|
|
PV Input Current
|
26+13
|
|
AC Output Power
|
10000W
|
|
Frequency and Voltage
|
50/60Hz; 230/400V
|
|
Efficiency
|
>97% |
|
Grid Regulation
|
CEI 0-21, VDE-AR-N 4105, NRS 097, IEC 62116, IEC 61727, G99, G98,
VDE 0126-1-1, RD 1699, C10-11
|
|
Communication
|
RS485; CAN
|
|
Protection
|
IP65
|






















