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A Physics-Data Hybrid Framework for SOC Estimation of Lithium-Ion Batteries Using Electrochemical Impedance Spectroscopy

https://doi.org/10.2139/ssrn.7290923
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SoC estimation on Li-ion batteries: A new EIS-based dataset for data-driven applications
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A comparative study of battery state-of-charge estimation using electrochemical impedance spectroscopy by different machine learning methods
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Global warming potential of lithium-ion battery energy storage systems: A review
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Parameter estimation of ECM model for Li-Ion battery using the weighted mean of vectors algorithm
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A parameter identification method of lithium ion battery electrochemical model based on combination of classifier and heuristic algorithm
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Advancing energy storage: The future trajectory of lithium-ion battery technologies
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EIS-DADA: A transferable approach for state of charge estimation in lithium-ion batteries based on impedance spectroscopy
inferredcites →https://doi.org/10.1016/j.jpowsour.2015.05.059openalex-snapshot
Fractional-order modeling and parameter identification for lithium-ion batteries
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Battery joint state estimation with uncertainty based on feature independent representation and re-weighted
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Measuring mixing patterns in complex networks by Spearman rank correlation coefficient
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Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
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Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
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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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Exploiting Battery Storages With Reinforcement Learning: A Review for Energy Professionals
inferredcites →https://doi.org/10.1109/access.2023.3308029openalex-snapshot
EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time
inferredcites →https://doi.org/10.1109/tia.2017.2775179openalex-snapshot
An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery
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Deep Reinforcement Learning Guided Framework for State Estimation of Li-ion Batteries: A Control-Oriented Approach With High Adaptability
inferredcites →https://doi.org/10.1109/tpel.2017.2780184openalex-snapshot
State of Charge-Dependent Polynomial Equivalent Circuit Modeling for Electrochemical Impedance Spectroscopy of Lithium-Ion Batteries
inferredcites →https://doi.org/10.1109/tte.2022.3160021openalex-snapshot
Electrochemical Impedance Spectroscopy Based State-of-Health Estimation for Lithium-Ion Battery Considering Temperature and State-of-Charge Effect
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A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
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State Estimation Models of Lithium-Ion Batteries for Battery Management System: Status, Challenges, and Future Trends
inferredcites →https://doi.org/10.3390/en16237807openalex-snapshot
A Review on Battery Model-Based and Data-Driven Methods for Battery Management Systems
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Review on the Battery Model and SOC Estimation Method
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