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. 2025 Jan 2;18(1):145. doi: 10.3390/ma18010145
AI Artificial intelligence LLI Loss of lithium ions
ANN Artificial neural network MAE Mean absolute error
BMS Battery management system MKSVM Multiple kernel relevance vector machine
BPNN Bank-propagation neural network ML Machine learning
CE Coulomb efficiency MLECM Mid and low-frequency domain ECM
CV Cyclic voltammetry MLR Multiple linear regression
DTV Differential thermal voltammetry PDF Probability density function
DTW Dynamic time warping PF Particle filter
DVA Differential voltage analysis P2D Pseudo-two-dimensional
ECM Equivalent circuit model QPSO Quantum-behaved particle swarm optimization
EIS Electrochemical impedance spectroscopy RF Random forest
EKF Extended Kalman filter RMSE Root mean square error
ELM Extreme learning machine RUL Remaining useful life
GPF Genetic resampling particle filter RVM Relevance vector machine
GPR Gaussian process regression SEI Solid electrolyte interface
HI Health indictor SOC State of charge
ICA Incremental capacity analysis SOH State of health
IMM Interacting Multiple Model SOP State of power
ISVR Incremental support vector regression SVR Support vector regression
KF Kalman filter WOA Whale of a whale
LAM Loss of active materials ZSL Zero-shot learning
LIB Lithium-ion battery