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Aging-Aware Adaptive Battery State Estimation for LiFePO₄ Modules: Full-Lifespan Validation and Kalman Filter Comparative Analysis
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inferredcites →https://doi.org/10.1016/j.apenergy.2008.11.021openalex-snapshot
Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
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A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
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Online battery state-of-charge estimation methods in micro-grid systems
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Classification, summarization and perspectives on state-of-charge estimation of lithium-ion batteries used in electric vehicles: A critical comprehensive survey
inferredcites →https://doi.org/10.1016/j.est.2023.107159openalex-snapshot
Review on technological advancement of lithium-ion battery states estimation methods for electric vehicle applications
inferredcites →https://doi.org/10.1016/j.ijepes.2019.02.046openalex-snapshot
Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions
inferredcites →https://doi.org/10.1016/j.rser.2017.05.001openalex-snapshot
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
inferredcites →https://doi.org/10.1016/j.rser.2019.06.040openalex-snapshot
Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
inferredcites →https://doi.org/10.1049/iet-est.2013.0007openalex-snapshot
State‐of‐charge estimation with aging effect and correction for lithium‐ion battery
inferredcites →https://doi.org/10.1109/access.2017.2780258openalex-snapshot
Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
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An Improved Coulomb Counting Approach Based on Numerical Iteration for SOC Estimation With Real-Time Error Correction Ability
inferredcites →https://doi.org/10.1109/access.2019.2942213openalex-snapshot
State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review
inferredcites →https://doi.org/10.1109/access.2020.2980961openalex-snapshot
Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art
inferredcites →https://doi.org/10.1109/access.2021.3057371openalex-snapshot
State of Charge Estimation of Lithium-Ion Batteries Based on Temporal Convolutional Network and Transfer Learning
inferredcites →https://doi.org/10.1109/access.2021.3068776openalex-snapshot
Lithium-Ion Battery Pack Robust State of Charge Estimation, Cell Inconsistency, and Balancing: Review
inferredcites →https://doi.org/10.1109/access.2023.3244801openalex-snapshot
Enhanced Coulomb Counting Method for SoC and SoH Estimation Based on Coulombic Efficiency
inferredcites →https://doi.org/10.1109/access.2024.3418909openalex-snapshot
Battery Management System for Electric Garbage Compactor Trucks
inferredcites →https://doi.org/10.1109/access.2024.3521231openalex-snapshot
Capacity Fade Estimation Through a Single Relaxation Point of Lithium-Ion Battery for Electric Vehicle Applications
inferredcites →https://doi.org/10.1109/access.2025.3560065openalex-snapshot
On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles
inferredcites →https://doi.org/10.1109/jsen.2022.3188845openalex-snapshot
A Hybrid Data-Driven Method for State-of-Charge Estimation of Lithium-Ion Batteries
inferredcites →https://doi.org/10.1109/tec.2018.2861994openalex-snapshot
State-of-Charge Estimation for Li-Ion Batteries: A More Accurate Hybrid Approach
inferredcites →https://doi.org/10.1109/tec.2022.3218344openalex-snapshot
A Dynamic SOH-Coupled Lithium-Ion Cell Model for State and Parameter Estimation
inferredcites →https://doi.org/10.1109/tec.2022.3218613openalex-snapshot
Adaptive Piecewise Equivalent Circuit Model With SOC/SOH Estimation Based on Extended Kalman Filter
inferredcites →https://doi.org/10.1109/tie.2021.3097613openalex-snapshot
State-of-Charge Estimation for Lithium-ion Batteries Based on Fuzzy Information Granulation and Asymmetric Gaussian Membership Function
inferredcites →https://doi.org/10.1109/tie.2025.3546355openalex-snapshot
Joint Estimation of SOC and SOH for Lithium-Ion Batteries via Adaptive Variable Structure Observers
inferredcites →https://doi.org/10.1109/tits.2022.3224561openalex-snapshot
A Battery Modeling Technique Based on Fusion of Hybrid and Adaptive Algorithms for Real-Time Applications in Pure EVs
inferredcites →https://doi.org/10.1109/tnnls.2019.2901062openalex-snapshot
A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells
inferredcites →https://doi.org/10.1109/tvt.2023.3244623openalex-snapshot
Real-Time State of Charge-Open Circuit Voltage Curve Construction for Battery State of Charge Estimation
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