Critical Review on Improved Electrochemical Impedance Spectroscopy-Cuckoo Search-Elman Neural Network Modeling Methods for Whole-Life-Cycle Health State …

R Xiong, S Wang, P Takyi-Aninakwa… - … and Control of …, 2024 - ieeexplore.ieee.org
Efficient and accurate health state estimation is crucial for lithium-ion battery (LIB)
performance monitoring and economic evaluation. Effectively estimating the health state of …

Data-driven state of charge estimation for power battery with improved extended Kalman filter

X Liu, Q Li, L Wang, M Lin, J Wu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurately monitoring battery state of charge (SOC) is essential for battery system safety.
However, single and open-loop combination algorithms are mainly used for SOC estimation …

An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for …

T Long, S Wang, W Cao, H Zhou, C Fernandez - Electrochimica acta, 2023 - Elsevier
Accurate assessment of SOE and SOH is a critical issue in the battery management system.
This paper proposes an improved variable forgetting factor recursive least square-double …

Modified bald eagle search algorithm for lithium-ion battery model parameters extraction

S Ferahtia, H Rezk, A Djerioui, A Houari, S Motahhir… - ISA transactions, 2023 - Elsevier
Bald eagle search algorithm (BES) is a recent metaheuristic algorithm based on bald eagle
hunting behavior. Like other metaheuristic algorithms, the BES algorithm is prone to …

An improved adaptive square root cubature Kalman filter method for estimating state-of-charge of lithium-ion batteries

Z Shi, J Xu, M Wu, L Zeng, H Zhang, Y He… - Journal of Energy Storage, 2023 - Elsevier
As a crucial parameter in the battery management system, the accuracy estimation of state-
of-charge (SoC) significantly affects the safe operation of batteries system. To ameliorate the …

HPPC Test Methodology Using LFP Battery Cell Identification Tests as an Example

T Białoń, R Niestrój, W Skarka, W Korski - Energies, 2023 - mdpi.com
The aim of this research was to create an accurate simulation model of a lithium-ion battery
cell, which will be used in the design process of the traction battery of a fully electric load …

Accurate state of temperature estimation for Lithium-Ion batteries based on square root cubature Kalman filter

J Shen, Z Zhang, S Shen, Y Zhang, Z Chen… - Applied Thermal …, 2024 - Elsevier
Accurate state of temperature estimation for lithium-ion batteries is essential to ensure its
safe and efficient operations. In this study, a state of temperature estimation framework for …

A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health …

R Xiong, S Wang, C Yu, C Fernandez, W Xiao… - Journal of Energy …, 2023 - Elsevier
With the rapid development of electric energy storage, more and more attention has been
paid to the accurate construction of energy storage lithium-ion battery (LIB) model and the …

[HTML][HTML] Optimal parameter identification strategy applied to lithium-ion battery model for electric vehicles using drive cycle data

HE Ghadbane, H Rezk, S Ferahtia, S Barkat… - Energy Reports, 2024 - Elsevier
The optimal parameter identification of lithium-ion (Li-ion) battery models is essential for
accurately capturing battery behavior and performance in electric vehicle (EV) applications …

Parameter Identification of Lithium-Ion battery model based on African vultures optimization algorithm

HM Fahmy, RA Sweif, HM Hasanien, M Tostado-Véliz… - Mathematics, 2023 - mdpi.com
This paper establishes a study for an accurate parameter modeling method for lithium-ion
batteries. A precise state space model generated from an equivalent electric circuit is used …