光储充一体化站点储能系统
By constructing a digital twin model and modular architecture, the electrochemical instability and dynamic stress of the integrated photovoltaic-storage-charging energy storage system are quantified in real time, solving the risk of thermal runaway caused by the hysteresis of traditional physical sensors, and realizing predictive risk prevention and safety optimization decision-making for the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NINGBO ZHAOKE NEW ENERGY TECH CO LTD
- Filing Date
- 2026-03-16
- Publication Date
- 2026-07-17
AI Technical Summary
In existing integrated photovoltaic, energy storage, and charging sites, traditional methods relying on physical sensors suffer from data lag and cannot reflect the electrochemical instability inside the battery in a timely manner. This can lead to the system entering a high-risk steady state, failing to respond promptly to the economic dispatch instructions of the EMS or external grid interference, and posing a risk of thermal runaway.
The system comprises a data acquisition module, a risk assessment module, a decision threshold module, an arbitration decision module, and an instruction correction module. It acquires state feature vectors in real time through a digital twin model, quantifies the electrochemical instability index and dynamic stress factor, generates predictive risk scores, and calculates dynamic intervention thresholds based on economic value indicators and safety margins to enable the correction and rejection of scheduling instructions.
It enables early warning and proactive prevention of potential thermal runaway risks, improves the inherent safety level and operational reliability of the system, avoids overprotection, ensures that scheduling commands are executed within the safety boundary, and extends the battery's lifespan.
Smart Images
Figure CN121840745B_ABST