Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

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A novel hybrid optimized incremental relevance vector machine and filtering technique for state of charge estimation of lithium-ion batteries

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A novel fusion-based deep learning approach with PSO and explainable AI for batteries State of Charge estimation in Electric Vehicles

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A Bayesian Inferred Health Prognosis and State of Charge Estimation for Power Batteries

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Multi-scale Fusion Model Based on Gated Recurrent Unit for Enhancing Prediction Accuracy of State-of-charge in Battery Energy Storage Systems

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Battery state-of-health estimation based on random charge curve fitting and broad learning system with attention mechanism

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Resilient Filter for State of Charge and Parameter Coestimation With Missing Measurement

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Robust state-of-charge estimation method for lithium-ion batteries based on the fusion of time series relevance vector machine and filter algorithm

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SOC Estimation of Lithium-Ion Battery Pack Based on Discharge Stage Division and Fusion Modeling

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Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer

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A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime

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Double Extended Kalman Filter Algorithm Based on Weighted Multi-Innovation and Weighted Maximum Correlation Entropy Criterion for Co-Estimation of Battery SOC and Capacity

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Effect of data enhancement on state-of-charge estimation of lithium-ion battery based on deep learning methods

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State of Charge Estimation for Lithium-ion Batteries using Extreme Learning Machine and Extended Kalman Filter

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Battery Pack State of Charge Estimation Toward Transportation Electrification: Challenges and Opportunities

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State-of-Charge Estimation of Lithium-Ion Batteries Based on the CNN-Bi-LSTM-AM Model Under Low-Temperature Environments

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State of charge estimation of lithium-ion batteries using a fractional-order multi-dimensional Taylor network with adaptive Kalman filter

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Optimizing State of Charge Estimation in Lithium–Ion Batteries via Wavelet Denoising and Regression-Based Machine Learning Approaches

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Online Model-Based Lithium-Ion Battery State-of-Charge Estimation Using RLS With Adaptive Three Forgetting Schemes

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State of charge and state of health estimation based on dual nonlinear adaptive observer and hysteresis model of lithium-ion battery

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Sensor Fusion-Enabled State of Charge Estimation of Smart Battery Module

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Machine Learning Applied to Lithium‐Ion Battery State Estimation for Electric Vehicles: Method Theoretical, Technological Status, and Future Development

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Novel state of charge estimation of lithium-ion batteries using empirical neural tangent kernel and unscented Kalman filter

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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks

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Fast Convergent On-Board Li-Ion Battery State-of-Charge Estimation via Back-Forth Moving Horizon Estimation

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Life Cycle Identification of Internal Short Circuits of Lithium-ion Battery Based on Recursive Least Square Method

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Gaussian Process With Automatic Relevance Determination Predictive Model for Energy Management of Electric Direct-Drive Wheels: Experimental Validation

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Service life estimation of electric vehicle lithium-ion battery pack using arrhenius mathematical model

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State of Health Estimations for Lithium-Ion Batteries Based on MSCNN

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Comprehensive Application of Phase Change Materials in Lithium‐Ion Battery Thermal Management: From Single Cooling to Coupled Systems

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State-of-Health Estimation and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Optimized Echo State Network With Early Data Feature

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A joint estimation method for state of charge in lithium-ion batteries based on physics-informed neural network and improved intelligent adaptive Kalman filtering

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Data Augmentation and Feature Selection for the Prediction of the State of Charge of Lithium-Ion Batteries Using Artificial Neural Networks

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Online SoC Estimation for Lithium-Ion Batteries Based on the OCV Online Calculation and Coulomb Counting Method

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An Adaptive Combined Method for Lithium‐Ion Battery State of Charge Estimation Using Long Short‐Term Memory Network and Unscented Kalman Filter Considering Battery Aging

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An Evolutionary Deep Learning Framework for Accurate Remaining Capacity Prediction in Lithium-Ion Batteries

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Efficient estimation method for State of Charge of multi-cell battery pack considering cell inconsistency

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A Novel Square Root Adaptive Unscented Kalman Filter Combined with Variable Forgetting Factor Recursive Least Square Method for Accurate State-of-charge Estimation of Lithium-Ion Batteries

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A State of Charge Estimation Approach for Lithium-Ion Batteries Based on the Optimized Metabolic EGM(1,1) Algorithm

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Machine Learning‐Based Surrogate Model Development for the Estimation of State‐of‐Charge and Minimization of Charging Time for Batteries of Lithium‐Ion in Electric Vehicles

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