| 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 |
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