Data analysis refers to a systematic approach to analyzing the performance of batteries during manufacturing, testing, operation or retirement.
Common analysis methods:
Descriptive statistics (mean, variance, box plots, etc.)
Trend analysis (such as capacity attenuation curves, resistance change trends)
Anomaly detection (determining the existence of over-temperature, over-voltage, and abnormal welding of terminals, etc.)
Regression modeling and prediction (predicting SOH or RUL)
Clustering and classification (identifying different usage patterns or fault types)
Machine learning/deep learning methods (for intelligent diagnosis and control optimization)
Data analysis
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