Sunshine Power has been recognized as a leader in the energy storage industry, thanks to its innovative Cell Pre-Diagnosis System. This system redefines safety in energy storage applications.
On March 20, during the awards ceremony for the China Energy Storage Industry Pioneer Awards at the CESC2025 International Energy Storage Conference, Sunshine Power received the Power Storage Station System Innovation Technology Advantage Pioneer Award for its EMS3000 Energy Management System, which features the groundbreaking Cell Pre-Diagnosis System. This accolade signifies that the system’s technological innovations and applications have been acknowledged by industry authorities.
As the first system to deeply integrate power electronics, electrochemistry, and AI technology, the Cell Pre-Diagnosis System is supported by Sunshine Power’s Energy Storage Smart Core Model. It leverages an AI supercomputing platform and a unique GeneSafe algorithm cluster to provide proactive warnings of anomalies up to seven days in advance, accurately pinpointing faults and improving operational efficiency by 30%. This enables fine-tuned and intelligent health management from the cell level to the system level.
In terms of fault diagnosis, the Cell Pre-Diagnosis System constructs a comprehensive scoring system for the health of energy storage cells, evaluated across five dimensions: data quality, behavior analysis, abnormal aging, fault alarms, and risk warnings. By assessing over 50 indicators, including voltage consistency, temperature consistency, internal resistance, and internal short circuits, it delivers real-time diagnostics on the health status of the power station, providing clear visibility of each cell’s true condition. For a 100 megawatt-hour power station, a diagnostic report can be generated within one minute.
Regarding fault warnings, the system can alert users of inconsistencies in cell temperature, voltage, and State of Charge (SOC) up to seven days in advance, warn about internal short circuit risks 100 hours ahead of time, and identify thermal runaway threats one hour prior. This guidance allows maintenance personnel to take timely action, effectively mitigating the risk of fire at its inception.
In terms of fault localization, the system can accurately identify issues at five levels: system-level, cabinet-level, rack-level, pack-level, and cell-level. This improves efficiency by 30% compared to traditional manual fault handling, facilitating a shift towards automated maintenance in the energy storage sector.
Currently, the Cell Pre-Diagnosis System has become the first in the industry to pass the evaluation of 14 functional indicators from the CGC/GF 246: 2024 Technical Specifications for Battery Safety Warning and Diagnosis Evaluation in Power Storage Systems. It has been successfully implemented in large-scale energy storage projects worldwide. For instance, in the Shandong Tai’erzhuang 100MW/200MWh grid-side energy storage Phase II project, the system reduced fault localization time from four hours to just 15 minutes, resulting in a 38% reduction in annual operational costs.
The Cell Pre-Diagnosis System acts like a “smart CT” for energy storage systems, addressing key industry challenges such as poor monitoring, lack of proactive warnings, and difficulties in fault detection. It significantly enhances the safety of power stations.
