BMS system framework diagram
2024-11-12 11:03:03 0 Report
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This BMS system framework diagram illustrates the comprehensive processes involved in battery management systems, focusing on high-precision complex model training and battery remaining life estimation. It encompasses key components such as battery feature extraction, SOX indicator calculation, and intelligent charging and discharging management. The framework integrates advanced technologies like artificial intelligence and big data to optimize model iteration, anomaly detection, and fault prediction. It ensures data security and visualization through cloud storage and local data centers. The diagram highlights the importance of full process safety monitoring, health status assessment, and system anomaly analysis, ensuring efficient battery management and operation.
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Outline/Content
High-precision complex model training
Battery remaining life estimation
Execute
Battery pack fault warning
Battery feature extraction
SOX Indicator Calculation
Cloud storage
Artificial intelligence technology
Model iteration and intelligent optimization
Local data center
Battery health prediction
Screening safe materials
battery block
Data security
Data Visualization
Data storage
Lightweight model training and updating
Edge cluster
Intelligent charging and discharging management
Big data technology
Operating condition matching and analysis
Network transmission
Central server
Surveillance
battery pack
Full process safety monitoring
Analysis
plan
Anomaly detection evaluation
Knowledge
Cloud server
Edge gateway
Health status assessment
Terminal device
Neural network Model selection
MAPE-K Cycle
Fault Prediction and Localization
Battery load balancing
System anomaly analysis and early warning
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