SOH estimation for lithium-ion batteries: An improved GPR optimization method based on the developed feature extraction

Y He, W Bai, L Wang, H Wu, M Ding - Journal of Energy Storage, 2024 - Elsevier
Accurate estimation of the State of Health (SOH) for lithium-ion batteries is necessary for the
stable operation of the battery system. To accurately estimate the SOH for lithium-ion …

Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm

Y Zhou, S Wang, Y **e, J Zeng, C Fernandez - Energy, 2024 - Elsevier
Due to the large-scale application of electric vehicles, the remaining service life prediction
and health status diagnosis of lithium-ion batteries as their power core is particularly …

[HTML][HTML] A data-fusion-model method for state of health estimation of Li-ion battery packs based on partial charging curve

X Qiang, W Liu, Z Lyu, H Ruan, X Li - Green Energy and Intelligent …, 2024 - Elsevier
The estimation of State of Health (SOH) for battery packs used in Electric Vehicles (EVs) is a
complex task with significant importance, accompanied by several challenges. This study …

Co-estimation of maximum available capacity and state-of-charge for lithium-ion batteries in multi-operating mode with temperature and degradation state adaptivity

K Huang, Z Lv, K Yao, Y Guo - Measurement, 2024 - Elsevier
Accurate state of charge (SOC) estimation is critical for battery management systems (BMS).
A new SOC estimation framework is developed, containing four modules: battery modeling …

A factory of fractional derivatives

MD Ortigueira - Symmetry, 2024 - mdpi.com
This paper aims to demonstrate that, beyond the small world of Riemann–Liouville and
Caputo derivatives, there is a vast and rich world with many derivatives suitable for specific …

Efficient water-related failure detection in PEM fuel cells: combining a PEMFCs fractional order impedance model with FFT-PWM techniques and artificial neural …

FZ Arama, S Laribi, K Mammar, N Aoun, T Ghaitaoui - Heliyon, 2024 - cell.com
Water management and early detection of faults in proton exchange membrane fuel cells
(PEMFCs) are among the most critical constraints that limit the optimal spread of this type of …

[HTML][HTML] Coupling principal component analysis-based sensor data reduction techniques and multi-net systems for simultaneous prediction of multi-component …

MG De Giorgi, T Donateo, A Ficarella, N Menga… - Measurement, 2024 - Elsevier
Abstract Hybrid Electric Power Systems (HEPS) have gained popularity as a more efficient
and eco-friendly alternative. However, with increasing system complexity, fault potential …

Accurate SOC estimation in power lithium-ion batteries using adaptive extended Kalman filter with a high-order electrical equivalent circuit model

IM Monirul, L Qiu, R Ruby, I Ullah, A Sharafian - Measurement, 2025 - Elsevier
Accurate state of charge (SOC) estimation is vital for optimizing lithium-ion battery (LIB)
performance and capacity in modern battery management systems (BMS). This study …

[HTML][HTML] A transfer learning-based ensemble learning model for electric vehicles lithium-ion battery capacity estimation using electrochemical impedance spectroscopy

X Zhao, S Liu, E Li, Z Wang, H Miao, F Gu… - … Energy Technologies and …, 2024 - Elsevier
Lithium-ion battery capacity estimation is crucial to ensure the operational reliability and
safety of electric vehicles. Electrochemical Impedance Spectroscopy (EIS) can provide rich …

Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung …

D Mo, S Wang, M Zhang, Y Fan, W Wu, C Fernandez… - Ionics, 2024 - Springer
Accurate estimation of the state of health (SOH) of lithium batteries is crucial to ensure the
reliable and safe operation of lithium batteries. Aiming at the problems of low accuracy of …