State-of-Charge Estimation of Li-ion Battery Cell using Support Vector Regression and Gradient Boosting Techniques

Keyphrases

• Li-ion Battery 100%
• Gradient Boosting Algorithm 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Gradient Vector 100%
• State of Charge Estimation 100%
• XGBoost 60%
• Machine Learning Techniques 40%
• Machine Learning Algorithms 20%
• Open-circuit Voltage 20%
• State Estimation 20%
• Support Vector Machine 20%
• Coefficient of Determination 20%
• Estimation Accuracy 20%
• Machine Learning Applications 20%
• Training Time 20%
• Implementation Outcomes 20%
• Electrical Model 20%
• Parallel Computing 20%
• Performance Accuracy 20%
• Battery Cell 20%
• Voltage Measurement 20%
• RBF Kernel 20%
• Regression Method 20%
• Data Science 20%
• Control Accuracy 20%
• Experimental Test Data 20%
• Electrochemical Model 20%
• Coulomb Counting 20%
• SOC Estimation 20%
• Data Science Applications 20%
• Iron Phosphate 20%
• Increased Demand 20%
• Ease of Implementation 20%

Engineering

• State of Charge 100%
• Lithium Ion Battery 100%
• Support Vector Machine 100%
• Machine Learning Technique 33%
• Open Circuit Voltage 16%
• Radial Basis Function 16%
• Machine Learning Algorithm 16%
• Increasing Demand 16%
• Test Data 16%
• State Estimation 16%
• Coulomb Counting 16%
• Iron 16%
• Electrical Measurement 16%