Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More
ACC（2024）
Key words
Machine Learning,Machine Learning Models,Hybrid Model,Battery Cycling,Battery Model,Laboratory Test Data,Battery Degradation,Battery Management System,Cycling,Experimental Design,Root Mean Square Error,Mean Square Error,Training Data,Predictive Performance,Prediction Error,Ordinary Least Squares,Machine Learning Approaches,Model Interpretation,Predictive Performance Of Models,Information Leakage,Degradation Modes,Overvoltage,Data-driven Models,Calendar Age,Solid Electrolyte Interphase,Physical Insight,Feature Engineering,Interplay Of Mechanisms
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