Research graph
References from Research on fast identification method of lithium battery parameters based on window-based algorithm. Local targets link to admitted publications; unresolved targets remain external evidence.
Critical review on adaptive modeling and parameter identification for state of power estimation in lithium-ion batteries
10.1016/j.jpowsour.2025.238937 · 2026 · External reference
An improved state of energy estimation method for energy storage lithium batteries with strong temperature and noise robustness
10.1016/j.electacta.2026.149058 · 2026 · External reference
Fast parameter identification of lithium-ion batteries via classification model-assisted Bayesian optimization
10.1016/j.energy.2023.129667 · 2024 · External reference
Physics-based parameter identification of an electrochemical model for lithium-ion batteries with two-population optimization method
10.1016/j.apenergy.2024.124748 · 2025 · External reference
An improved particle swarm optimization-adaptive square root Unscented Kalman filter algorithm for accurate state of charge estimation of lithium-ion batteries
10.1016/j.energy.2026.140316 · 2026 · External reference
Quantum-inspired grey wolf optimizer for rapid lithium-ion battery parameter identification in electric vehicles
10.1016/j.est.2025.118425 · 2025 · External reference
Parameter sensitivity analysis of a multi-physics coupling aging model of lithium-ion batteries
10.1016/j.electacta.2024.143811 · 2024 · External reference
A dual-objective data-driven framework combining Bayesian optimization and improved differential evolution for rapid and accurate parameter identification of lithium-ion battery P2D models
10.1016/j.energy.2025.137974 · 2025 · External reference
A novel co-estimation framework of state-of-charge, state-of-power and capacity for lithium-ion batteries using multi-parameters fusion method
10.1016/j.energy.2023.126820 · 2023 · External reference
Multi-objective optimization of lithium-ion battery model using genetic algorithm approach
10.1016/j.jpowsour.2014.07.110 · 2014 · External reference
Model parameter identification for lithium batteries using the coevolutionary particle swarm optimization method
10.1109/tie.2017.2677319 · 2017 · External reference
Online model-based lithium-ion battery state-of-charge estimation using RLS with adaptive three forgetting schemes
10.1109/tte.2025.3635195 · 2026 · External reference
Improved back-propagation neural network-multi-information gain optimization Kalman filter method for high-precision estimation of state-of-energy in lithium-ion batteries
10.1016/j.energy.2025.138214 · 2025 · External reference
Improved online parameter identification coupled with discrete wavelet transform for state-of-charge estimation under noise-riding discharging/charging battery voltage
10.1016/j.electacta.2024.145262 · 2024 · External reference
An adaptive hybrid approach for online battery state of charge estimation
10.1016/j.est.2025.116023 · 2025 · External reference
Online estimation of model parameters and state of charge for lithium-ion battery using multitimescale recurrent neural networks
10.1109/tie.2025.3528505 · 2025 · External reference
Large language model-enhanced Bayesian optimization for parameter identification of lithium-ion batteries
10.1016/j.est.2025.118198 · 2025 · External reference
Early safety warning method for lithium-ion batteries under mechanical abuse conditions based on online electrochemical parameter identification
10.1016/j.electacta.2025.147361 · 2025 · External reference
Enhanced equivalent circuit model for high current discharge of lithium-ion batteries with application to electric vertical takeoff and landing aircraft
10.1016/j.jpowsour.2024.235188 · 2024 · External reference
Parameter identification method for the variable order fractional-order equivalent model of lithium-ion battery
10.1016/j.est.2022.106273 · 2023 · External reference
Battery management strategies: an essential review for battery state of health monitoring techniques
10.1016/j.est.2022.104427 · 2022 · External reference
An SMPS-based lithium-ion battery test system for internal resistance measurement
10.1109/tte.2022.3178981 · 2023 · External reference
Review on degradation mechanism and health state estimation methods of lithium-ion batteries
2023 · External reference
A hybrid pulse power characterization-elastic net framework for accurate state-of-health estimation in lithium-ion batteries under thermal aging conditions
10.1016/j.est.2025.118911 · 2025 · External reference
Research on rapid extraction of internal resistance of lithium battery based on short-time transient response
10.1016/j.est.2023.109985 · 2024 · External reference
Online estimation of lithium-ion battery equivalent circuit model parameters using decoupled recursive least squares with adaptive moving window forgetting factor
10.1109/tia.2025.3588810 · 2026 · External reference
CPSO-based parameter identification method for the fractional-order modeling of lithium-ion batteries
10.1109/tpel.2021.3073810 · 2021 · External reference
Parameter identification method for lithium-ion batteries based on recursive least square with sliding window difference forgetting factor
10.1016/j.est.2021.103485 · 2021 · External reference
Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect
10.1016/j.est.2023.107597 · 2023 · External reference
Online battery model parameters identification approach based on bias-compensated forgetting factor recursive least squares
10.1016/j.geits.2024.100207 · 2024 · External reference
Binary multi-frequency signal for accurate and rapid electrochemical impedance spectroscopy acquisition in lithium-ion batteries
10.1016/j.apenergy.2024.123221 · 2024 · External reference
Impedance spectroscopy applied to lithium battery materials: good practices in measurements and analyses
2024 · External reference
Accelerated and broadband electrochemical impedance spectroscopy of lithium-ion batteries using segmented chirp signals
10.1016/j.ces.2026.123440 · 2026 · External reference
Fast characterization of lithium-ion battery impedance and nonlinearity using optimized multisine perturbation signal
10.1109/tie.2025.3561879 · 2025 · External reference
Fast and highly accurate measurement of electrochemical impedance spectra of power batteries based on optimized multi-sine signals
10.1016/j.measurement.2025.117355 · 2025 · External reference
Rapid detection of dynamic electrochemical impedance spectroscopy of batteries based on sampling function excitation
10.1016/j.jpowsour.2025.236823 · 2025 · External reference
Fast battery impedance measurement based on discrete Fourier transform and S transform with discrete interval binary sequence
10.1016/j.jpowsour.2025.239239 · 2026 · External reference
A high-precision and fast measurement method for Li-ion battery EIS
2025 · External reference
Exploring impedance spectrum for lithium-ion batteries diagnosis and prognosis: a comprehensive review
10.1016/j.jechem.2024.04.005 · 2024 · External reference
Research on online passive electrochemical impedance spectroscopy and its outlook in battery management
10.1016/j.apenergy.2024.123046 · 2024 · External reference
Multi-physics coupling model parameter identification of lithium-ion battery based on data driven method and genetic algorithm
10.1016/j.energy.2024.134120 · 2025 · External reference
AI-driven optimization of SOC-dependent parameters for reduced order electrochemical thermal model of lithium-ion batteries
10.1016/j.jpowsour.2025.238849 · 2026 · External reference
A lithium-ion battery equivalent circuit model based on a hybrid parametrization approach
10.1016/j.est.2023.109051 · 2023 · External reference
Research on online passive electrochemical impedance spectroscopy and its outlook in battery management
10.1016/j.apenergy.2024.123046 · ExternalCitation · doi-reference
Binary multi-frequency signal for accurate and rapid electrochemical impedance spectroscopy acquisition in lithium-ion batteries
10.1016/j.apenergy.2024.123221 · ExternalCitation · doi-reference
Physics-based parameter identification of an electrochemical model for lithium-ion batteries with two-population optimization method
10.1016/j.apenergy.2024.124748 · ExternalCitation · doi-reference
Accelerated and broadband electrochemical impedance spectroscopy of lithium-ion batteries using segmented chirp signals
10.1016/j.ces.2026.123440 · ExternalCitation · doi-reference
Parameter sensitivity analysis of a multi-physics coupling aging model of lithium-ion batteries
10.1016/j.electacta.2024.143811 · ExternalCitation · doi-reference
Improved online parameter identification coupled with discrete wavelet transform for state-of-charge estimation under noise-riding discharging/charging battery voltage
10.1016/j.electacta.2024.145262 · ExternalCitation · doi-reference
Early safety warning method for lithium-ion batteries under mechanical abuse conditions based on online electrochemical parameter identification
10.1016/j.electacta.2025.147361 · ExternalCitation · doi-reference
An improved state of energy estimation method for energy storage lithium batteries with strong temperature and noise robustness
10.1016/j.electacta.2026.149058 · ExternalCitation · doi-reference
A novel co-estimation framework of state-of-charge, state-of-power and capacity for lithium-ion batteries using multi-parameters fusion method
10.1016/j.energy.2023.126820 · ExternalCitation · doi-reference
Fast parameter identification of lithium-ion batteries via classification model-assisted Bayesian optimization
10.1016/j.energy.2023.129667 · ExternalCitation · doi-reference
Multi-physics coupling model parameter identification of lithium-ion battery based on data driven method and genetic algorithm
10.1016/j.energy.2024.134120 · ExternalCitation · doi-reference
A dual-objective data-driven framework combining Bayesian optimization and improved differential evolution for rapid and accurate parameter identification of lithium-ion battery P2D models
10.1016/j.energy.2025.137974 · ExternalCitation · doi-reference
Improved back-propagation neural network-multi-information gain optimization Kalman filter method for high-precision estimation of state-of-energy in lithium-ion batteries
10.1016/j.energy.2025.138214 · ExternalCitation · doi-reference
An improved particle swarm optimization-adaptive square root Unscented Kalman filter algorithm for accurate state of charge estimation of lithium-ion batteries
10.1016/j.energy.2026.140316 · ExternalCitation · doi-reference
Parameter identification method for lithium-ion batteries based on recursive least square with sliding window difference forgetting factor
10.1016/j.est.2021.103485 · ExternalCitation · doi-reference
Battery management strategies: an essential review for battery state of health monitoring techniques
10.1016/j.est.2022.104427 · ExternalCitation · doi-reference
Parameter identification method for the variable order fractional-order equivalent model of lithium-ion battery
10.1016/j.est.2022.106273 · ExternalCitation · doi-reference
Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect
10.1016/j.est.2023.107597 · ExternalCitation · doi-reference
A lithium-ion battery equivalent circuit model based on a hybrid parametrization approach
10.1016/j.est.2023.109051 · ExternalCitation · doi-reference
Research on rapid extraction of internal resistance of lithium battery based on short-time transient response
10.1016/j.est.2023.109985 · ExternalCitation · doi-reference
An adaptive hybrid approach for online battery state of charge estimation
10.1016/j.est.2025.116023 · ExternalCitation · doi-reference
Large language model-enhanced Bayesian optimization for parameter identification of lithium-ion batteries
10.1016/j.est.2025.118198 · ExternalCitation · doi-reference
Quantum-inspired grey wolf optimizer for rapid lithium-ion battery parameter identification in electric vehicles
10.1016/j.est.2025.118425 · ExternalCitation · doi-reference
A hybrid pulse power characterization-elastic net framework for accurate state-of-health estimation in lithium-ion batteries under thermal aging conditions
10.1016/j.est.2025.118911 · ExternalCitation · doi-reference
Online battery model parameters identification approach based on bias-compensated forgetting factor recursive least squares
10.1016/j.geits.2024.100207 · ExternalCitation · doi-reference
Exploring impedance spectrum for lithium-ion batteries diagnosis and prognosis: a comprehensive review
10.1016/j.jechem.2024.04.005 · ExternalCitation · doi-reference
Multi-objective optimization of lithium-ion battery model using genetic algorithm approach
10.1016/j.jpowsour.2014.07.110 · ExternalCitation · doi-reference
Enhanced equivalent circuit model for high current discharge of lithium-ion batteries with application to electric vertical takeoff and landing aircraft
10.1016/j.jpowsour.2024.235188 · ExternalCitation · doi-reference
Rapid detection of dynamic electrochemical impedance spectroscopy of batteries based on sampling function excitation
10.1016/j.jpowsour.2025.236823 · ExternalCitation · doi-reference
AI-driven optimization of SOC-dependent parameters for reduced order electrochemical thermal model of lithium-ion batteries
10.1016/j.jpowsour.2025.238849 · ExternalCitation · doi-reference
Critical review on adaptive modeling and parameter identification for state of power estimation in lithium-ion batteries
10.1016/j.jpowsour.2025.238937 · ExternalCitation · doi-reference
Fast battery impedance measurement based on discrete Fourier transform and S transform with discrete interval binary sequence
10.1016/j.jpowsour.2025.239239 · ExternalCitation · doi-reference
Fast and highly accurate measurement of electrochemical impedance spectra of power batteries based on optimized multi-sine signals
10.1016/j.measurement.2025.117355 · ExternalCitation · doi-reference
Online estimation of lithium-ion battery equivalent circuit model parameters using decoupled recursive least squares with adaptive moving window forgetting factor
10.1109/tia.2025.3588810 · ExternalCitation · doi-reference
Model parameter identification for lithium batteries using the coevolutionary particle swarm optimization method
10.1109/tie.2017.2677319 · ExternalCitation · doi-reference
Online estimation of model parameters and state of charge for lithium-ion battery using multitimescale recurrent neural networks
10.1109/tie.2025.3528505 · ExternalCitation · doi-reference
Fast characterization of lithium-ion battery impedance and nonlinearity using optimized multisine perturbation signal
10.1109/tie.2025.3561879 · ExternalCitation · doi-reference
CPSO-based parameter identification method for the fractional-order modeling of lithium-ion batteries
10.1109/tpel.2021.3073810 · ExternalCitation · doi-reference
An SMPS-based lithium-ion battery test system for internal resistance measurement
10.1109/tte.2022.3178981 · ExternalCitation · doi-reference
Online model-based lithium-ion battery state-of-charge estimation using RLS with adaptive three forgetting schemes
10.1109/tte.2025.3635195 · ExternalCitation · doi-reference
