How Can Energy Storage Systems Achieve Monitoring Functions?
Building a complete 15kw battery storage monitoring system typically involves the following steps and module design:
The system should be deployed within the residential energy storage system site, including a main control server, communication network equipment, monitoring terminals, and data acquisition units to acquire real-time data from various components of the home battery for solar system facility.
Coverage monitoring of the home power battery storage batteries, inverter/converter units (PCS), and auxiliary systems is performed, collecting status information across multiple dimensions such as voltage, current, temperature, SOC (state of charge), and power output.
The collected data is processed, stored, and analyzed using software systems compatible with industrial communication protocols (such as Modbus/TCP, OPC-UA, IEC104, etc.), supporting high-frequency acquisition and batch data processing to meet the data volume and response speed requirements of high-capacity all in one energy storage system systems.
Data monitoring logic is established to periodically or in real-time evaluate the status of individual battery cells/modules. If a certain data exceeds a preset threshold (such as temperature, voltage deviation, SOC abnormality, etc.), the system will mark the status of that unit/module, generate an alarm, or initiate a maintenance process.
Through a layered architecture design, the edge layer, cloud services, and scheduling control platform are integrated, allowing for flexible deployment based on the scale and usage scenarios of the home electricity storage system. The edge layer handles real-time monitoring and preliminary analysis, while the cloud layer performs historical data storage, big data analysis, and predictive maintenance.
Ultimately, the monitoring system is combined with the Energy Management Subsystem (EMS) to achieve unified management and scheduling of the 100kw battery storage equipment's operating status and grid-side power flow. This integrated platform supports functions such as frequency regulation, peak shaving and valley filling, and power distribution, while also providing remote maintenance, data backup, and recovery solutions.

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