Data Mining for Early Cycle Life Prediction in Lithium-Ion Battery Production

Keyphrases

• Lithium-ion Battery 100%
• Cycle Life Prediction 100%
• Lithium-ion Battery Manufacturing 100%
• Classification Accuracy 50%
• Extracting Features 50%
• Feature Selection Methods 50%
• Aging 50%
• Product Quality 50%
• Predictive Power 50%
• Selected Features 50%
• Data Mining Techniques 50%
• Efficient Prediction 50%
• Feature Selection Models 50%
• Conventional Measures 50%
• Nonlinear Support Vector Machine 50%
• High Cycle Life 50%
• Quality Grade 50%
• Low-cycle Life 50%

Engineering

• Lithium-Ion Batteries 100%
• Cycle Life 100%
• Life Prediction 100%
• Feature Extraction 25%
• Classification Accuracy 25%
• Product Quality 25%
• Selection Algorithm 25%
• Data Source 25%
• Nonlinear Support Vector Machine 25%

Material Science

• Lithium Ion Battery 100%