[HTML][HTML] The development of machine learning-based remaining useful life prediction for lithium-ion batteries

X Li, D Yu, VS Byg, SD Ioan - Journal of Energy Chemistry, 2023 - Elsevier
Lithium-ion batteries are the most widely used energy storage devices, for which the
accurate prediction of the remaining useful life (RUL) is crucial to their reliable operation and …

Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review

S Khaleghi, MS Hosen, J Van Mierlo… - … and Sustainable Energy …, 2024 - Elsevier
Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …

Develo** an online data-driven approach for prognostics and health management of lithium-ion batteries

S Khaleghi, MS Hosen, D Karimi, H Behi, SH Beheshti… - Applied Energy, 2022 - Elsevier
Lithium-ion batteries have achieved dominance in energy storage systems. Meanwhile,
there is a demand for the reliability of lithium-ion batteries. Battery prognostics and health …

A review on thermal behaviors and thermal management systems for supercapacitors

W Zhou, Z Liu, W Chen, X Sun, M Luo, X Zhang, C Li… - Batteries, 2023 - mdpi.com
As a representative electrochemical energy storage device, supercapacitors (SCs) feature
higher energy density than traditional capacitors and better power density and cycle life …

Equivalent circuit model for high-power lithium-ion batteries under high current rates, wide temperature range, and various state of charges

D Karimi, H Behi, J Van Mierlo, M Berecibar - Batteries, 2023 - mdpi.com
The most employed technique to mimic the behavior of lithium-ion cells to monitor and
control them is the equivalent circuit model (ECM). This modeling tool should be precise …

[HTML][HTML] Comprehensive passive thermal management systems for electric vehicles

H Behi, D Karimi, R Youssef, M Suresh Patil… - Energies, 2021 - mdpi.com
Lithium-ion (Li-ion) batteries have emerged as a promising energy source for electric vehicle
(EV) applications owing to the solution offered by their high power, high specific energy, no …

[HTML][HTML] Advanced hybrid thermal management system for LTO battery module under fast charging

H Behi, D Karimi, T Kalogiannis, J He, MS Patil… - Case Studies in Thermal …, 2022 - Elsevier
Nowadays, the use of electric vehicles (EVs) equipped with lithium-ion (Li-ion) batteries, has
been growing every day. Li-ion batteries' performance, effectiveness, and safety importantly …

A hybrid thermal management system for high power lithium-ion capacitors combining heat pipe with phase change materials

D Karimi, MS Hosen, H Behi, S Khaleghi… - Heliyon, 2021 - cell.com
Lithium-ion capacitor (LiC) technology is an energy storage system (ESS) that combines the
working mechanism of electric double-layer capacitors (EDLC) and lithium-ion batteries …

A comprehensive coupled 0D-ECM to 3D-CFD thermal model for heat pipe assisted-air cooling thermal management system under fast charge and discharge

D Karimi, H Behi, M Berecibar, J Van Mierlo - Applied Energy, 2023 - Elsevier
Prediction of electrical and thermal behavior of lithium-ion capacitor (LiC) technology as an
asymmetric technology is feasible by designing a precise model. Such a model should …

[HTML][HTML] A comprehensive review of lithium-ion capacitor technology: Theory, development, modeling, thermal management systems, and applications

D Karimi, H Behi, J Van Mierlo, M Berecibar - Molecules, 2022 - mdpi.com
This review paper aims to provide the background and literature review of a hybrid energy
storage system (ESS) called a lithium-ion capacitor (LiC). Since the LiC structure is formed …