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Adaptive Battery State-of-Charge Estimation using Aging-driven Equivalent Circuit Parameterization and Electrochemical Impedance Spectroscopy

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Li-Ion Battery SOC Estimation using Improved AEKF with Adaptive Window Width Adjustment

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Soc Estimation Using a Neural Network Trained with Model-Based Dataset Implemented in Ground Electric Vehicles BMS

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Battery State of Charge Estimation Based on Improved Neural Network

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Artificial Intelligence in Lithium-Ion Battery Predictions

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Machine Learning Based State of Charge Estimation and Real-Time Battery Monitoring System

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Intelligent Battery Management Strategy

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Physics-informed multi-scale convolutional attention model for state of charge estimation of lithium-ion batteries

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Fiber Bragg Grating -Based State of Charge Sensitive Feature Extraction and Estimation for Lithium Ion Batteries

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State of Charge Estimation for Lithium-Ion Batteries NCR 21700 Using Linear Methods

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Regression Based State of Charge Estimation Model of Li-ion Battery

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A Dual-Head Mixer-BiLSTM Architecture for Battery State of Charge Prediction

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State of Charge Estimation of Electric-Vehicle Batteries Using Machine Learning Algorithms

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Interpretable Ensemble Voting Systems for State of Charge Prediction in Electric Vehicle Batteries

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Sensor Driven Long Short-Term Memory Gate Recurrent Estimation with Deep Reinforcement Learning Based Charge Control for Battery Swapping Station Application

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Intelligent state of charge management for electric vehicle batteries in vehicle-to-grid systems: From driving to grid integration

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Applied comparative study of existing methods for state-of-charge estimation in lithium-ion batteries

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Experimental Validation of an Adaptive Series-Parallel Recombination Battery-Balancing Architecture Using Second-Life Lithium-Ion Cells

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A novel physics-embedded hybrid learning framework for reliable state-of-charge estimation in Lithium-Ion batteries

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Enabling Lightweight and Accurate SOC Estimation Through Load Self-Regulation for Massive IoT Devices

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A VMD-BiGRU-Attention-Based Method for Predicting the State of Charge of Rail Transit Lithium Batteries

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A mechanically informed transfer learning method for cross-capacity state-of-charge estimation of lithium-ion batteries

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Lithium-ion Battery SOC Estimation based on CNN-Transformer Model

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SOC Estimation of Lithium-Ion Batteries Using GRU-TCA: A Hybrid GRU and Transformer Cross-Attention Network

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A Comparative Data-Driven Study for State-of-Charge Estimation of Lithium-Ion Batteries Under Variable Operating Conditions

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The Hybrid Tianji’s Horse Racing Optimization–Enzyme Action Optimizer: A New Hybrid Algorithm for Parameter Estimation of Lithium-ion Battery Model

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State of Charge and State of Energy Estimation for Semi-Solid Lithium-Ion Batteries Based on Multi-Scale Temporal Convolutional Network

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A Fusion State-of-Charge Estimation Framework for Lithium-Ion Batteries of Electric Vehicles Using Enhanced Single Particle Model and CNN-BiLSTM

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An Interpretable Continuous-Time ODE Framework for Smartphone SOC and Time-to-Empty Prediction

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Towards Sustainable Battery Utilization: A Physics-Informed Multimodal Deep Learning Framework for Robust SOC Estimation

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State of Charge Estimation for Li-Ion Batteries: An Edge-Based Data-Driven Approach

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State of Charge Estimation of Electric-Vehicle Batteries Using Machine Learning Algorithms

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A Method of SOC Estimation for Electric Vehicle Based on Limited Information

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