Adaptive SOC Estimation for Lithium-Ion Batteries Using Cluster-Based Deep Learning Models Across Diverse Temperatures

Computer Science

• Deep Learning Model 100%
• Random Decision Forest 100%
• Long Short-Term Memory Network 100%
• Deep Learning Method 100%
• K-Means Clustering 100%
• XGBoost 100%
• Bidirectional Long Short-Term Memory Network 100%
• Nonlinear Behavior 100%
• Machine Learning 100%
• Learning System 100%
• Operational Behavior 100%

Engineering

• Lithium-Ion Batteries 100%
• State of Charge 100%
• Deep Learning Model 100%
• Nonlinear Behavior 25%
• Random Forest 25%
• Test Data 25%
• Real-Time Model 25%
• Dynamic State 25%
• Machine Learning Algorithm 25%
• Operational Behavior 25%
• Lstm 25%
• Deep Learning Method 25%
• Xgboost 25%
• BiLSTM 25%

Chemical Engineering

• Deep Learning Method 100%
• Long Short-Term Memory Network 50%
• Xgboost 50%
• Machine Learning Algorithm 50%