Particle swarm optimization: A comprehensive survey

TM Shami, AA El-Saleh, M Alswaitti, Q Al-Tashi… - Ieee …, 2022 - ieeexplore.ieee.org
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

State of charge estimation for lithium-ion batteries based on improved barnacle mating optimizer and support vector machine

B Liu, H Wang, ML Tseng, Z Li - Journal of Energy Storage, 2022 - Elsevier
Precise state of charge (SOC) estimation is essential for battery management systems. The
improved barnacle mating optimizer-support vector machine (IBMO-SVM) model is …

Optimal parameters estimation of lithium-ion battery in smart grid applications based on gazelle optimization algorithm

HM Hasanien, I Alsaleh, M Tostado-Véliz, A Alassaf… - Energy, 2023 - Elsevier
The principal contribution of this article focusing on obtaining a precise model of the lithium-
ion battery (LiB). This in fact affects the simulation analyses and dynamics of such batteries …

State of charge estimation for lithium-ion batteries based on TCN-LSTM neural networks

C Hu, F Cheng, L Ma, B Li - Journal of the Electrochemical …, 2022 - iopscience.iop.org
Accurately estimating the state of charge (SOC) of lithium-ion batteries is critical for
developing more reliable and efficient operation of electric vehicles. However, the commonly …

[HTML][HTML] Metaheuristic optimization algorithms for real-world electrical and civil engineering application: A Review

H Rezk, AG Olabi, T Wilberforce, ET Sayed - Results in Engineering, 2024 - Elsevier
Metaheuristic optimization algorithms (MOAs) are gaining increasing interest because of
their exceptional effectiveness in addressing many optimization issues. Nevertheless, these …

State of health estimation of lithium-ion battery using dual adaptive unscented Kalman filter and Coulomb counting approach

HM Fahmy, HM Hasanien, I Alsaleh, H Ji… - Journal of Energy …, 2024 - Elsevier
Several charging and discharging processes of lithium-ion batteries (LIBs) can lead to a
battery fading and degradation effect. This may cause sudden faults, leakages, and …

Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and …

W Xiao, S Wang, C Yu, X Yang, J Qiu… - Journal of The …, 2022 - iopscience.iop.org
State of Charge (SOC) estimation is the focus of battery management systems, and it is
critical to accurately estimate battery SOC in complex operating environments. To weaken …

Precise modeling of lithium-ion battery in industrial applications using Walrus optimization algorithm

HM Fahmy, AH Alqahtani, HM Hasanien - Energy, 2024 - Elsevier
This research article demonstrates how to get a precise lithium-ion battery (LIB) model using
one of the artificial intelligence algorithms called the Walrus optimization algorithm (WaOA) …

Parameters estimation and sensitivity analysis of lithium-ion battery model uncertainty based on osprey optimization algorithm

AH Alqahtani, HM Fahmy, HM Hasanien… - Energy, 2024 - Elsevier
To advance the field of lithium-ion battery (LIB) research, this paper unveils an accurate
modelling of LIB that primarily relies on the equivalent circuit model, backed by the Osprey …

Improved Backward Smoothing Square Root Cubature Kalman Filtering and Fractional Order—Battery Equivalent Modeling for Adaptive State of Charge Estimation of …

J Zhou, S Wang, W Cao, Y Xie… - Energy …, 2023 - Wiley Online Library
The accuracy of lithium‐ion battery state of charge (SOC) estimation affects the driving
distance, battery life, and safety performance of electric vehicles. Herein, the polarization …