[HTML][HTML] Overview of batteries and battery management for electric vehicles

W Liu, T Placke, KT Chau - Energy Reports, 2022 - Elsevier
Popularization of electric vehicles (EVs) is an effective solution to promote carbon neutrality,
thus combating the climate crisis. Advances in EV batteries and battery management …

Critical summary and perspectives on state-of-health of lithium-ion battery

B Yang, Y Qian, Q Li, Q Chen, J Wu, E Luo… - … and Sustainable Energy …, 2024 - Elsevier
The rapid development of lithium-ion battery (LIB) technology promotes its wide application
in electric vehicle (EV), aerospace, and mobile electronic equipment. During application …

[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 …

Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network

S Zhao, C Zhang, Y Wang - Journal of Energy Storage, 2022 - Elsevier
In order for lithium-ion batteries to function reliably and safely, accurate capacity and
remaining useful life (RUL) predictions are essential, but challenging. Some current deep …

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li… - … and Sustainable Energy …, 2020 - Elsevier
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

G Ma, S Xu, B Jiang, C Cheng, X Yang… - Energy & …, 2022 - pubs.rsc.org
Real-time and personalized lithium-ion battery health management is conducive to safety
improvement for end-users. However, personalized prognostic of the battery health status is …

An overview of data-driven battery health estimation technology for battery management system

M Chen, G Ma, W Liu, N Zeng, X Luo - Neurocomputing, 2023 - Elsevier
Battery degradation, caused by multiple coupled degradation mechanisms, severely affects
the safety and sustainability of a battery management system (BMS). The battery state of …

A data-model interactive remaining useful life prediction approach of lithium-ion batteries based on PF-BiGRU-TSAM

J Zhang, C Huang, MY Chow, X Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Accurate remaining useful life (RUL) prediction of lithium-ion batteries is critical for energy
supply systems. In conventional data-driven RUL prediction approaches, the battery's …

[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

S Wang, S **, D Bai, Y Fan, H Shi, C Fernandez - Energy Reports, 2021 - Elsevier
As widely used for secondary energy storage, lithium-ion batteries have become the core
component of the power supply system and accurate remaining useful life prediction is the …

Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook

MSH Lipu, MA Hannan, TF Karim, A Hussain… - Journal of Cleaner …, 2021 - Elsevier
Globally, the research on battery technology in electric vehicle applications is advancing
tremendously to address the carbon emissions and global warming issues. The …