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Smart Diagnostic System for Energy Storage Power Stations
The intelligent early-warning and diagnostic system for energy storage power stations is a smart solution specifically designed for lithium-ion battery energy storage systems. Leveraging advanced electrochemical modeling and machine learning algorithms, it enables precise prediction and diagnosis of lithium-ion battery states, helping users enhance the reliability and cost-effectiveness of their battery systems. The system integrates several key technologies that allow it to monitor, diagnose, and predict battery performance in real time, ensuring the efficient operation of the energy storage system.
System functions:
Smart Prediction
SOC (State of Charge, State of Charge) Prediction
SOH (State of Health, Health Status) Prediction
RUL (Remaining Useful Life, Remaining Useful Life) Prediction
Parameter estimation
Ohmic Resistance Estimation
Polarization Resistance Estimation
Polarized Capacitor Estimation
Fault Warning and Diagnosis
Internal Short-Circuit Warning and Diagnosis
Overcharge, overdischarge, and overheating warnings and diagnostics
Other Fault Diagnostics
Revenue Forecast
Market Electricity Price Analysis
Revenue Optimization Model
Load forecasting
Historical Data Analysis
Machine learning prediction
Application scenarios:
Grid energy storage: Helps the power grid achieve stable operation and load balance, enhancing the reliability and efficiency of the power system.
Home energy storage: Optimize household energy management, reduce electricity costs, and increase energy self-sufficiency.
Commercial energy storage: Enhances power utilization efficiency and economic benefits for commercial users, and optimizes power dispatch and cost management.
New energy power generation: In conjunction with new energy systems such as wind and solar, it enhances the stability of power output and reduces the impact of fluctuations and intermittency.
Battery Health Assessment
Battery prediction
Electricity Price Management
Smart Diagnosis
Smart Diagnostic System for Energy Storage Power Stations
- Description
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The intelligent early-warning and diagnostic system for energy storage power stations is a smart solution specifically designed for lithium-ion battery energy storage systems. Leveraging advanced electrochemical modeling and machine learning algorithms, it enables precise prediction and diagnosis of lithium-ion battery states, helping users enhance the reliability and cost-effectiveness of their battery systems. The system integrates several key technologies that allow it to monitor, diagnose, and predict battery performance in real time, ensuring the efficient operation of the energy storage system.
System functions:
Smart Prediction
SOC (State of Charge, State of Charge) Prediction
SOH (State of Health, Health Status) Prediction
RUL (Remaining Useful Life, Remaining Useful Life) Prediction
Parameter estimation
Ohmic Resistance Estimation
Polarization Resistance Estimation
Polarized Capacitor Estimation
Fault Warning and Diagnosis
Internal Short-Circuit Warning and Diagnosis
Overcharge, overdischarge, and overheating warnings and diagnostics
Other Fault Diagnostics
Revenue Forecast
Market Electricity Price Analysis
Revenue Optimization Model
Load forecasting
Historical Data Analysis
Machine learning prediction
Application scenarios:
Grid energy storage: Helps the power grid achieve stable operation and load balance, enhancing the reliability and efficiency of the power system.
Home energy storage: Optimize household energy management, reduce electricity costs, and increase energy self-sufficiency.
Commercial energy storage: Enhances power utilization efficiency and economic benefits for commercial users, and optimizes power dispatch and cost management.
New energy power generation: In conjunction with new energy systems such as wind and solar, it enhances the stability of power output and reduces the impact of fluctuations and intermittency.
Battery Health Assessment
Battery prediction
Electricity Price Management
Smart Diagnosis
Related Products
Virtual Power Plant Microgrid Platform
Integrated Automation System for Conventional Power Plants/Substations
New Energy Photovoltaic/Wind Power Integrated Automation System
New Energy Fast Frequency Response System (Primary Frequency Regulation)
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Quick links
Tel: 400-070-1580
Email: njzhdq@njzhdq.com
Address: No. 10, Xinfeng Road, Jiangning District, Nanjing City
