AI enabled fast charging of lithium-ion batteries of electric vehicles during their life cycle: review, challenges and perspectives

D Sun, D Guo, Y Lu, J Chen, Y Lu, X Han… - Energy & …, 2024 - pubs.rsc.org
Gradually replacing conventional fuel vehicles with electric vehicles (EVs) is a crucial step
towards achieving energy saving and emission reduction in the transportation sector. The …

Multi-model ensemble learning for battery state-of-health estimation: Recent advances and perspectives

C Lin, J Xu, D Jiang, J Hou, Y Liang, Z Zou… - Journal of Energy …, 2024 - Elsevier
The burgeoning market for lithium-ion batteries has stimulated a growing need for more
reliable battery performance monitoring. Accurate state-of-health (SOH) estimation is critical …

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 …

Transferable data-driven capacity estimation for lithium-ion batteries with deep learning: A case study from laboratory to field applications

Q Wang, M Ye, X Cai, DU Sauer, W Li - Applied Energy, 2023 - Elsevier
Capacity estimation plays a vital role in ensuring the health and safety management of
lithium-ion battery-based electric-drive systems. This research focuses on develo** a …

SOH estimation of lithium-ion batteries based on multi-feature deep fusion and XGBoost

J Sun, C Fan, H Yan - Energy, 2024 - Elsevier
State of Health (SOH) is a crucial metric for battery management systems, and accurate
estimation of battery SOH is essential for the underlying management and maintenance of …

Refined lithium-ion battery state of health estimation with charging segment adjustment

K Zheng, J Meng, Z Yang, F Zhou, K Yang, Z Song - Applied Energy, 2024 - Elsevier
Accurately monitoring the state of health (SOH) of lithium-ion batteries (LIBs) is crucial for
battery management systems (BMS), yet there lack of the possibility to fully use the random …

Stacking integrated learning model via ELM and GRU with mixture correntropy loss for robust state of health estimation of lithium-ion batteries

J Xue, W Ma, X Feng, P Guo, Y Guo, X Hu, B Chen - Energy, 2023 - Elsevier
Accurate estimation of the state of health (SOH) is crucial for the safe and stable operation of
lithium-ion batteries. However, since the labeled values may contain non-Gaussian noise …

A self‐adaptive, data‐driven method to predict the cycling life of lithium‐ion batteries

C Han, YC Gao, X Chen, X Liu, N Yao, L Yu, L Kong… - InfoMat, 2024 - Wiley Online Library
Accurately forecasting the nonlinear degradation of lithium‐ion batteries (LIBs) using early‐
cycle data can obviously shorten the battery test time, which accelerates battery optimization …

Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data

F Wang, Z Wu, Z Zhao, Z Zhai, C Wang… - Reliability Engineering & …, 2024 - Elsevier
Accurate state of health (SOH) estimation is basis for safe and reliable operation of lithium-
ion batteries. In practice, accurate and reliable SOH estimation remains a challenge due to …

A comprehensive review on research methods for lithium-ion battery of state of health estimation and end of life prediction: Methods, properties, and prospects

J Ren, J Ma, H Wang, T Yu… - Protection and Control of …, 2024 - ieeexplore.ieee.org
Recently, lithium-ion batteries (LIBs) have become the leading energy storage solution for
electric vehicles, thanks to their high energy density and extended lifespan. Examining the …