Research progress in fault detection of battery systems: a review

Y Shang, S Wang, N Tang, Y Fu, K Wang - Journal of Energy Storage, 2024 - Elsevier
Numerous explorations have been made with the goal of achieving “carbon neutrality.”
Among them, lithium-ion batteries are an effective and efficient way to achieve this goal …

Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications

Q Yu, C Wang, J Li, R Xiong, M Pecht - ETransportation, 2023 - Elsevier
Lithium-ion batteries are the ideal energy storage device for numerous portable and energy
storage applications. Efficient fault diagnosis methods become urgent to address safety …

[HTML][HTML] Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index …

MG Uddin, A Rahman, FR Taghikhah, AI Olbert - Water Research, 2024 - Elsevier
Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …

A novel fault prediction method based on convolutional neural network and long short-term memory with correlation coefficient for lithium-ion battery

J Sun, S Ren, Y Shang, X Zhang, Y Liu… - Journal of Energy Storage, 2023 - Elsevier
Among various batteries, the lithium-ion battery is the most widely used battery type. The
issue of battery safety has received considerable critical attention. If the fault cannot be …

Synergizing machine learning and the aviation sector in lithium-ion battery applications: a review

J Chen, G Qi, K Wang - Energies, 2023 - mdpi.com
Lithium-ion batteries, as a typical energy storage device, have broad application prospects.
However, developing lithium-ion batteries with high energy density, high power density, long …

An intelligent online fault diagnosis system for gas turbine sensors based on unsupervised learning method LOF and KELM

K Cheng, Y Wang, X Yang, K Zhang, F Liu - Sensors and Actuators A …, 2024 - Elsevier
The performance of gas turbine inevitably grades slowly in service. In order to obtain high-
precision state assessment, an intelligent online real-time sensor fault diagnosis algorithm …

A comprehensive review of key technologies for enhancing the reliability of lithium-ion power batteries

Y Ren, C Jin, S Fang, L Yang, Z Wu, Z Wang, R Peng… - Energies, 2023 - mdpi.com
Fossil fuel usage has a great impact on the environment and global climate. Promoting new
energy vehicles (NEVs) is essential for green and low-carbon transportation and supporting …

Fire accident risk analysis of lithium battery energy storage systems during maritime transportation

C Zhang, H Sun, Y Zhang, G Li, S Li, J Chang, G Shi - Sustainability, 2023 - mdpi.com
The lithium battery energy storage system (LBESS) has been rapidly developed and applied
in engineering in recent years. Maritime transportation has the advantages of large volume …

Improvement of local outlier factor algorithms for lithium-ion battery fault diagnosis

Y Qiu, P Peng, F Jiang - Journal of Energy Storage, 2024 - Elsevier
Fault diagnosis is one of the most important active strategies to protect lithium-ion batteries
(LIBs) from safety accidents. The tasks of fault diagnosis usually can be divided into three …

High-performance lithium-ion batteries packs at low temperatures based on organic nano carbon source induced graphene film electric heater on quartz substrate

J Chen, Y Yang, L Zhang, X Hou, K Han, S Ma… - Journal of Energy …, 2023 - Elsevier
As the demand for electric devices continues to rise, there is a growing interest in ensuring
the proper functioning of lithium-ion batteries (LIBs) at low temperatures. However, the use …