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- Caggiano, Mariateresa [remove] 1
- 333.7905 1
- ACKF Adaptive Cubature Kalman Filter -- AI Artificial Intelligence -- ANFIS Adaptive Neuro-Fuzzy Inference Syste -- ANN Artificial Neural Network -- ARNN Adaptive Recurrent Neural Network -- AUKF Adaptive Unscented Kalman Filter -- BA Bayesian Approach -- BLS Broad Learning System -- BMO Barnacles Mating Optimizer -- BMS Battery Management Systems -- BN Bayesian Network -- BPNN Back Propagation Neural Network -- B-LSTM Long-Short-Term Backpropagation Neural Memory -- CC-CV Costant Current-Costant Voltage -- CHMM Continuous Hidden Markov Model -- CKF Cubature Kalman Filter -- CNN Convolutional Neural Network -- CPE Constant Phase Element -- CWRNN Clockwork Recurrent Neural Network -- Cmaximum Maximum available capacity -- Cremaining Remaining capacity -- Ct Capacity estimate at time t -- C0 New battery's nominal capacity -- DAE-NN Denoising AutoEncoder Neural Network -- DBN Dynamic Bayesian Network -- DCNN Deep Convolution Neural Network -- DE Discharge Efficiency -- DL Deep Learning -- DOD Depth Of Discharge -- ECL Equivalent Circle Life -- ECM Equivalent circuit modelling -- EDPSO Exponential Decay Particle Swarm Optimization -- EIS Electrochemical Impedance Spectroscopy -- EKF Extended Kalman Filter -- ELM Extreme Learning Machines -- EMT Electrochemical modelling techniques -- EOCV End of Charge Voltage -- ERA Exponential Regression Algorithm -- ESC External Short Circuit -- FD Fault Detection -- FFNN Feed-Forward Neural Networks -- FOC Fractional-Order Calculus -- FOTM, SOTM First and the Second-Order Thèvenin ECM -- FUDS Federal Urban Drive Schedule -- GA-SVR Genetic Algorithm Optimized Support Vector Regression -- GM Grey Model -- GNL General Non-Linear -- GPR Gaussian process regression -- GRU Gated Recurrent Unit -- HPPC Hybrid Pulse Power Characterization -- IM Impedence Model -- IndRNN Independent Recurrent Neural Network -- KDE Kernel Density Estimation -- KF Kalman Filter -- LCA Linear Correlation Analysis -- LS Least-Squares -- LSE Least Squares Estimate -- LS-SVM Least-Squares Support Vector Machine -- LSTM Long Short-Term Memory -- MAE Mean-Absolute-Error -- MAPE Mean Absolute-Percentage Error -- MEM Minimalist Electrochemical Model -- ML Machine Learning -- MONESN Monotone Echo State Networks -- MSVM Multi-kernel SVM -- NASA National Aeronautics and Space Administration -- NB Naive Bayes -- NCA Nonparametric Correlation Analysis -- NN Neural Network -- PA Probabilistic algorith -- PBM Physics-Based Model -- PCA Partial Correlation Analysis -- PF Particle Filter -- PHM Prognostics and Health Management -- PNGV Partnership for a New Generation of Vehicles -- PNN Probabilistic Neural Network -- PRS Pseudo-Random Sequence -- RB Rule-Based -- RBF Radial Basis Functions -- RC Resistor-Capacitor -- RLM Recursive Levenberg-Marquardt -- RLS Recursive Least Squares -- RMSE Root Mean Square Error -- RNN Recurrent Neural Networks -- ROM Reduced-Order Model -- RUL Remaing Useful Life -- RUP Remaining Useful Performance -- RVFL Random Vector Functional Link -- RVM Relevance Vector Machine -- RWPF Random Walk Particle Filtering -- SOC State of charge -- SOE State of Energy -- SOH State of Health -- SPKF Sigma-Point Kalman Filtering -- SRCKF Square Root Kalman Cubing -- SSL Self-Supervised Learning -- SVM Support Vector Machines -- TM Thevenin model -- UKF Unscented Kalman Filter -- VRLA Valve-Regulated Lead-Acid -- ZEBRA Zero Emission Battery Research Activities 1
- Battery -- Model-based approaches -- Data-driven approaches -- Hybrid approaches -- Optimization techniques 1
- Energy consumption -- Periodicals 1
- Power (Mechanics) -- Periodicals 1
- Power resources -- Periodicals 1