[HTML][HTML] Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Y Zheng, Y Che, X Hu, X Sui, DI Stroe… - Progress in Energy and …, 2024 - Elsevier
Transportation electrification is a promising solution to meet the ever-rising energy demand
and realize sustainable development. Lithium-ion batteries, being the most predominant …

[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 …

Specialized convolutional transformer networks for estimating battery health via transfer learning

J Zhao, Z Wang - Energy Storage Materials, 2024 - Elsevier
Despite continuous advancements, modeling and predicting nonlinear, multiscale, and
multiphysics battery systems, which feature inherently inhomogeneous cascades of scales …

Unveiling the Three Stages of Li Plating and Dynamic Evolution Processes in Pouch C/LiFePO4 Batteries

Y Lin, W Hu, M Ding, Y Hu, Y Peng… - Advanced Energy …, 2024 - Wiley Online Library
Li plating is widely known as the key factor leading to degradation and safety issues in
lithium‐ion batteries (LIBs). Herein, the feasibility of monitoring the onset and progression of …

Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances

Y Wang, H **ang, YY Soo, X Fan - Renewable and Sustainable Energy …, 2025 - Elsevier
In the rapidly evolving landscape of energy storage, lithium-ion batteries stand at the
forefront, powering a vast array of devices from mobile phones to electric vehicles and …

Applications of artificial neural network based battery management systems: A literature review

M Kurucan, M Özbaltan, Z Yetgin, A Alkaya - Renewable and Sustainable …, 2024 - Elsevier
Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …

Accurate Model Parameter Identification to Boost Precise Aging Prediction of Lithium‐Ion Batteries: A Review

S Ding, Y Li, H Dai, L Wang, X He - Advanced Energy Materials, 2023 - Wiley Online Library
Precise prediction of lithium‐ion cell level aging under various operating conditions is an
imperative but challenging part of ensuring the quality performance of emerging applications …

Systematic safety evaluation of quasi-solid-state lithium batteries: a case study

W Li, H Li, J Liu, S Lin, Q Chen, W Ji, Z He… - Energy & …, 2023 - pubs.rsc.org
It is widely believed that replacing flammable liquid electrolytes (LEs) with solid electrolytes
can solve the safety problems of lithium batteries. However, the safety of solid-state batteries …

[HTML][HTML] Battery health prognostic with sensor-free differential temperature voltammetry reconstruction and capacity estimation based on multi-domain adaptation

Y Che, SB Vilsen, J Meng, X Sui, R Teodorescu - Etransportation, 2023 - Elsevier
Battery health prognostic is a key part of battery management used to ensure safe and
optimal usage. A novel method for end-to-end sensor-free differential temperature …

Rapid health estimation of in-service battery packs based on limited labels and domain adaptation

Z Deng, L Xu, H Liu, X Hu, B Wang, J Zhou - Journal of Energy Chemistry, 2024 - Elsevier
For large-scale in-service electric vehicles (EVs) that undergo potential maintenance,
second-hand transactions, and retirement, it is crucial to rapidly evaluate the health status of …