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Lithium Battery SOC Estimation Based on Improved Vffrls-Aekf

https://doi.org/10.2139/ssrn.4753914
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Toward Practical High‐Energy and High‐Power Lithium Battery Anodes: Present and Future
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A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network
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SOC and SOH Joint Estimation of Lithium-Ion Battery Based on Improved Particle Filter Algorithm
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Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
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Long-short term memory neural network based life prediction of lithium-ion battery considering internal parameters
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SOC estimation of retired lithium-ion batteries for electric vehicle with improved particle filter by H-infinity filter
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A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
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Improved parameters identification and state of charge estimation for lithium-ion battery with real-time optimal forgetting factor
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Improved parameter identification and state-of-charge estimation for lithium-ion battery with fixed memory recursive least squares and sigma-point Kalman filter
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A novel fuzzy adaptive cubature Kalman filtering method for the state of charge and state of energy co-estimation of lithium-ion batteries
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Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles
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A novel estimation of state of charge for the lithium-ion battery in electric vehicle without open circuit voltage experiment
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Robust state of charge estimation for Li-ion batteries based on cubature kalman filter with generalized maximum correntropy criterion
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Online parameters identification and state of charge estimation for lithium-ion capacitor based on improved Cubature Kalman filter
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An online state of charge estimation for Lithium-ion and supercapacitor in hybrid electric drive vehicle
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Co-estimation for capacity and state of charge for lithium-ion batteries using improved adaptive extended Kalman filter
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State of charge estimation with the adaptive unscented Kalman filter based on an accurate equivalent circuit model
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Parameter identification method for lithium-ion batteries based on recursive least square with sliding window difference forgetting factor
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State-of-charge estimation for the lithium-ion battery based on adaptive extended Kalman filter using improved parameter identification
inferredcites →https://doi.org/10.1016/j.est.2022.104139openalex-extracted
Optimal BP neural network algorithm for state of charge estimation of lithium-ion battery using PSO with Levy flight
inferredcites →https://doi.org/10.1016/j.est.2022.104174openalex-extracted
Kalman filtering techniques for the online model parameters and state of charge estimation of the Li-ion batteries: A comparative analysis
inferredcites →https://doi.org/10.1016/j.est.2022.104211openalex-extracted
Intelligent state of charge estimation of battery pack based on particle swarm optimization algorithm improved radical basis function neural network
inferredcites →https://doi.org/10.1016/j.est.2022.104424openalex-extracted
Comparison study between hybrid Nelder-Mead particle swarm optimization and open circuit voltage—Recursive least square for the battery parameters estimation
inferredcites →https://doi.org/10.1016/j.est.2022.105303openalex-extracted
Lithium-ion cell equivalent circuit model identification by galvanostatic intermittent titration technique
inferredcites →https://doi.org/10.1016/j.est.2022.106478openalex-extracted
An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation
inferredcites →https://doi.org/10.1016/j.est.2023.106908openalex-extracted
A comparative study of state of charge estimation methods of ultracapacitors for electric vehicles considering temperature characteristics
inferredcites →https://doi.org/10.1016/j.est.2023.108777openalex-extracted
A comprehensive review of state of charge estimation in lithium-ion batteries used in electric vehicles
inferredcites →https://doi.org/10.1016/j.est.2023.109125openalex-extracted
Influencing factors of lithium-ion battery thermal runaway in confined space
inferredcites →https://doi.org/10.1016/j.etran.2023.100260openalex-extracted
Perspectives and challenges for future lithium-ion battery control and management
inferredcites →https://doi.org/10.1016/j.jclepro.2020.125180openalex-extracted
State-of-charge estimation of lithium-ion batteries based on improved H infinity filter algorithm and its novel equalization method
inferredcites →https://doi.org/10.1038/s41598-021-84729-1openalex-extracted
A parameter adaptive method for state of charge estimation of lithium-ion batteries with an improved extended Kalman filter
inferredcites →https://doi.org/10.1080/15435075.2023.2242926openalex-extracted
Lithium battery model parameter identification based on the GA-LM algorithm
inferredcites →https://doi.org/10.1109/access.2023.3318121openalex-extracted
Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications
inferredcites →https://doi.org/10.1109/jestpe.2020.3034362openalex-extracted
Optimal SoC Estimation Considering Hysteresis Effect for Effective Battery Management in Shipboard Batteries
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A Comparison of Three Strategies: Electric vehicles battery cooling strategies and use of nanomaterial for performance enhancement
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Joint Estimation of Battery Parameters and State of Charge Using an Extended Kalman Filter: A Single-Parameter Tuning Approach
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An Enhanced Equivalent Circuit Model With Real-Time Parameter Identification for Battery State-of-Charge Estimation
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Study on the Relationship Between Open-Circuit Voltage, Time Constant And Polarization Resistance of Lithium-Ion Batteries
inferredcites →https://doi.org/10.1149/1945-7111/acaa5bopenalex-extracted
Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Improved Artificial Fish Swarms Forgetting Factor Least Squares and Differential Evolution Extended Kalman Filter
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Improved Backward Smoothing—Square Root Cubature Kalman Filtering and Variable Forgetting Factor—Recursive Least Square Modeling Methods for the High-Precision State of Charge Estimation of Lithium-Ion Batteries
inferredcites →https://doi.org/10.1155/2020/8854618openalex-extracted
Online Parameter Identification of the Lithium-Ion Battery with Refined Instrumental Variable Estimation
inferredcites →https://doi.org/10.1155/2021/8816250openalex-extracted
State of Charge Estimation of Composite Energy Storage Systems with Supercapacitors and Lithium Batteries
inferredcites →https://doi.org/10.20964/2022.02.03openalex-extracted
State of Health and Charge Estimation Based on Adaptive Boosting integrated with particle swarm optimization/support vector machine (AdaBoost-PSO-SVM) Model for Lithium-ion Batteries
inferredcites →https://doi.org/10.20964/2022.09.27openalex-extracted
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
inferredcites →https://doi.org/10.3389/fenrg.2021.769818openalex-extracted
Estimation of Lithium-Ion Battery SOC Model Based on AGA-FOUKF Algorithm
inferredcites →https://doi.org/10.3389/fenrg.2022.914291openalex-extracted
A Comparative Study of SOC Estimation Based on Equivalent Circuit Models
inferredcites →https://doi.org/10.3390/electronics11111795openalex-extracted
A Review on Different State of Battery Charge Estimation Techniques and Management Systems for EV Applications
inferredcites →https://doi.org/10.3390/en13112825openalex-extracted
Battery Management Systems—Challenges and Some Solutions
inferredcites →https://doi.org/10.3390/en13215771openalex-extracted
Economic Impacts of the Demand Response of Electric Vehicles Considering Battery Degradation
inferredcites →https://doi.org/10.3390/en15196881openalex-extracted
Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization
inferredcites →https://doi.org/10.3390/s23010467openalex-extracted
Stable and Accurate Estimation of SOC Using eXogenous Kalman Filter for Lithium-Ion Batteries
inferredcites →https://doi.org/10.3390/su15065014openalex-extracted
Review of State Estimation and Remaining Useful Life Prediction Methods for Lithium–Ion Batteries
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