Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

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State-of-Charge Estimation of Lithium-Ion Batteries Based on Data-Model Fusion Method

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Weighted Model-Based State-of-Charge Estimation Algorithm for Differential Terminal Voltage Application of LFP Battery

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Enhanced Explainability for Transfer Learning Based State of Charge Estimation for Lithium Ion Batteries

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Examination of Over-Discharge Effects on a Cylindrical Lithium-Ion Battery via the Immersion of a Copper Strip in a Salt Solution

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State of Charge Estimation of Zinc-Bromine Flow Batteries Using Physics-Informed Long Short-Term Memory Networks

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Cell State-of-Charge Estimation with Limited Voltage Sensor Measurements

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Hybrid Recurrent Neural Network and Adaptive Linear Kalman Filter for Lithium‐Ion Battery State of Charge Estimation

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Feature Evaluation in Machine Learning-Based Soc Estimation for PV Battery Systems

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Reduce state of charge estimation errors with an extended Kalman filter algorithm

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A charge dynamics model for state-of-charge estimation by Kalman filter and lithium-ion battery parameters observation in real-vehicle

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A Physics-Informed Integrated Modeling Method for Lithium-ion Batteries

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Battery modeling

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Enhance Parameter Identification Accuracy for State-of-Charge Optimization in Lithium-Ion BatteriesPreprint

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Robust Battery Voltage Prediction under Operating-Condition Shift via Residual-Corrected ECM-UDEPreprint

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Improved Terminal Voltage Correction - Electrical Equivalent Circuit Modeling and Adaptive Unscented Kalman Filtering Strategies for the High-Accuracy Closed-Circuit Voltage Traction and State-of-Charge Estimation of Whole-Life-Cycle Lithium-Ion BatteriesPreprint

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Remaining useful life prediction of lithium-ion batteries with limited historical dataPreprint

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Real-World Data-Driven Charging Strategies for Electric Vehicles Incorporating Health AwarenessPreprint

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Performance Estimation of Lithium-Ion Batteries in Electric Vehicles

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AI-Based Smart Dashboard for Electric Vehicles

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State-of-Charge Estimation of Lithium Battery Based on Deep Residual Shrinkage Networks and a Variant Long Short Term Memory Neural Network

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Generalizable and Efficient State of Charge Estimation for Lithium-Ion Batteries with Deep LearningPreprint

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A Data-Driven CEEMDAN-DRSCN-Based RUL Prediction Method for UAV Batteries

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Application and Optimization of Adaptive Simplified Second-Order Extended Kalman Filter Algorithm in Lithium Battery State EstimationPreprint

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Estimasi State-of-Charge Pada Baterai Lithium-Ion Menggunakan Deep Neural Network

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Prediction of State of Charge in Electric Vehicle Lithium-ion Batteries using Deep Learning

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Enhanced CNN-Based Failure Integrated Assessment Procedure for Energy Accumulator Packs

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Soc Estimation & Battery Modelling for HEV

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Overcoming SOC Estimation Challenges in Lfp Batteries with a Real-Time Adaptive MethodPreprint

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Implementation of Deep Learning Algorithm to Estimate the State of Charge (SOC) of Lithium Ion Battery

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Advanced Machine Learning Algorithms for Battery State-of-Charge Estimation in Electric Vehicles

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State of charge estimation of lithium-ion battery based on adaptive boosting algorithm optimised extreme learning machine

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Enhancing Lithium-Ion Battery State of Charge Predictions Using LSTM Models for Real-World Electric Vehicle ConditionsPreprint

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

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Implementation of SoC Estimation and Charging Method Optimization of Lithium-Ion Battery for Electric Vehicle

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Estimativa de SOC em baterias íon-lítio de veículos elétricos: uma abordagem com dados de ciclo de operação e métodos híbridos de machine learning

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SOC Estimation for Lithium Batteries Under Wide Temperature and Multi-Operating Conditions

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Rapid and Reliable Estimation of Battery State-of-Charge using Physics-informed Neural Networks

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Enhanced State of Charge Estimation for Battery via Adaptive Wavelet‐Based Hybrid Deep Learning

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HPPC Derived Feature Augmented DNN for SOC Estimation in Electric Vehicles

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Smart Value Chains: Integrating Big Data and Sustainability in Industry 4.0

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Fractional-order extended Kalman filter method for the state of charge (SOC) estimation of lithium-ion batteries

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An adaptive convolutional feature fusion with selective architecture for estimating the state of charge of lithium-ion batteries under unconventional conditions

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Accurate State of Charge Estimation of Li-Ion Battery Pack in Real Driving Conditions Using Safe Reinforcement Learning

Reeta, Bala, A., & Singh, M. K. (2025) · IEEE International Conference on Smart Technologies for Power, Energy and Control (STPEC) · doi:10.1109/stpec66316.2025.11490656

Toward Generalizable State-of-Charge Prediction of Lithium-Ion Batteries Using Deep Learning and Real-World Data

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A Review of Gate-Structured Recurrent Neural Network Strategies for State-of-Charge Estimation in Lithium-Ion Batteries

Eroğlu, F., & Catkin, B. (2026) · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) · doi:10.1109/ichora69329.2026.11537044

Hierarchical Joint Estimation of Inertial Parameters and Key States for Electric Vehicles Based on MCAUKF–PINN

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Filtering techniques for lithium-ion battery state of health and remaining useful life prediction

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Adaptive SOC-based equalization charging with flyback converter for battery packs

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Modular battery management software for satellite applications: Kalman filter-based state of charge estimation and SoC-driven balancing on an 8-bit microcontroller

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Two-Stage Game Theory Using DCNN for Effective EV Charging Management and Power Allocation

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Bibliometric Analysis of AI for Carbon Emission Optimization in Fuel Storage and Distribution (2015–2025)

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Explicit Moving Horizon Estimator Based Online State of Charge Estimation of Lithium-Ion Battery

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Polarization-Compensated Adaptive EKF for eVTOL Battery SOC Estimation

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From Data to Discovery: Crafting Data‐Driven Frameworks for Advancing OER Electrocatalysts

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Comparative analysis of deep learning approaches for electrothermal and state of health estimation in lithium-ion batteries under variable thermal conditions

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A Comparative Study of Battery State-of-Charge Estimation Using Multi-Source Features with Machine Learning ModelsPreprint

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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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Machine learning-based energy management and bidirectional power control for battery-fed electric vehicle traction drive

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Explainable AI-driven machine and deep learning models for state-of-health estimation of EV batteries in IoT-based 6G networks

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State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review

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State of charge estimation for lithium-ion batteries with model-based algorithms

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Data-Driven and Computational Intelligence Approaches for SOC Estimation in Lithium-Ion Batteries: Challenges, Opportunities, and Future Trends

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