A comprehensive review of lithium-ion batteries modeling, and state of health and remaining useful lifetime prediction

M Elmahallawy, T Elfouly, A Alouani… - Ieee …, 2022 - ieeexplore.ieee.org
According to the United States environmental protection agency (EPA), every burned gallon
of gasoline generates 8.87 Kg of CO2. The pollution created by vehicles' fuel consumption …

A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines

T Pan, J Chen, Z Ye, A Li - Reliability Engineering & System Safety, 2022 - Elsevier
Accurate prediction of remaining useful life (RUL) is necessary to ensure stable and safe
operations for rocket engines. The paper proposed a multi-head attention network coupled …

Prognostics for the sustainability of industrial cyber-physical systems: From an artificial intelligence perspective

J Zhang, J Tian, H Luo, S Wu, S Yin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As industrial cyber-physical systems (ICPS) play an increasingly pivotal role in the new
industrial paradigm, their sustainability has become the current research focus. Remaining …

Multivariate stacked bidirectional long short term memory for lithium-ion battery health management

RR Ardeshiri, M Liu, C Ma - Reliability Engineering & System Safety, 2022 - Elsevier
Prognostics and health management (PHM) will ensure the safe and reliable operation of
the battery systems. The remaining useful life (RUL) prediction as one of the major PHM …

Remaining useful life estimation of bearing via temporal convolutional networks enhanced by a gated convolutional unit

Y Qin, F Gan, B Xia, D Mi, L Zhang - Engineering Applications of Artificial …, 2024 - Elsevier
In the field of prognostics and health management (PHM) for industrial equipment and
systems, the estimation of remaining useful life (RUL) constitutes a fundamental task. A …

PFFN: A parallel feature fusion network for remaining useful life early prediction of lithium-ion battery

Z Dong, M Yang, J Wang, H Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Remaining useful life (RUL) early prediction of lithium-ion battery is crucial to develop
advanced battery health management and complete security assessment. However, most of …

Partial charging-based health feature extraction and state of health estimation of lithium-ion batteries

J He, S Meng, X Li, F Yan - … of Emerging and Selected Topics in …, 2022 - ieeexplore.ieee.org
The state-of-health (SOH) is a critical indicator in the battery management system of lithium-
ion batteries (LIBs). Charging feature-based SOH estimators have attracted much attention …

Early battery lifetime prediction based on statistical health features and box-cox transformation

Q Wang, M Xie, F Yang - Journal of Energy Storage, 2024 - Elsevier
Early battery lifetime prediction is important for both safety reasons and battery development.
It predicts battery lifetime before it degrades significantly and has the advantage of being low …

An intelligent charging scheme for lithium-ion batteries of electric vehicles considering internal attenuation modes

J Tian, D Yang, X Zhang, J Yin… - IEEE Journal of Emerging …, 2023 - ieeexplore.ieee.org
Charging control is one of the essential functions of battery management systems. Battery
charging involves behavioral changes such as electricity, heat, and aging. Balancing these …

Hierarchical Operation Optimization for Regenerative Braking Energy Utilizing in Urban Rail Traction Power Supply System

H Zhang, J Zhang, L Zhou, P Xiong, Z Zhao - Energies, 2023 - mdpi.com
The energy feedback system (EFS) is widely accepted to utilize the regenerative braking
energy (RBE) in an urban rail traction power supply system (TPSS). However, the sharing …