A review on lifetime prediction of proton exchange membrane fuel cells system

Z Hua, Z Zheng, E Pahon, MC Péra, F Gao - Journal of Power Sources, 2022 - Elsevier
The proton exchange membrane fuel cells (PEMFC) system is a promising eco-friendly
power converter device in a wide range of applications, especially in the transportation area …

A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries

MF Ge, Y Liu, X Jiang, J Liu - Measurement, 2021 - Elsevier
Lithium-ion batteries have been generally used in industrial applications. In order to ensure
the safety of the power system and reduce the operation cost, it is particularly important to …

Degradation mechanisms of proton exchange membrane fuel cell under typical automotive operating conditions

P Ren, P Pei, Y Li, Z Wu, D Chen, S Huang - Progress in Energy and …, 2020 - Elsevier
The proton exchange membrane (PEM) fuel cell is an ideal automotive power source with
great potential, owing to its high efficiency and zero emissions. However, the durability and …

Hydrogen storage and delivery: Review of the state of the art technologies and risk and reliability analysis

R Moradi, KM Groth - International Journal of Hydrogen Energy, 2019 - Elsevier
Among all introduced green alternatives, hydrogen, due to its abundance and diverse
production sources is becoming an increasingly viable clean and green option for …

Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: Advances and prospects

A Al-Othman, M Tawalbeh, R Martis, S Dhou… - Energy Conversion and …, 2022 - Elsevier
With the rapid advancement of technology in the energy sector and the demand for
sustainable energy practices, the world is aiming at fostering the hydrogen economy and …

A multi-feature-based multi-model fusion method for state of health estimation of lithium-ion batteries

M Lin, D Wu, J Meng, J Wu, H Wu - Journal of Power Sources, 2022 - Elsevier
Battery state-of-health (SOH) estimation is a critical concern of the battery management
system, which significantly affects the safe and stable operation of electric vehicles. The …

Data-driven proton exchange membrane fuel cell degradation predication through deep learning method

R Ma, T Yang, E Breaz, Z Li, P Briois, F Gao - Applied energy, 2018 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) is one of the principal candidates to take
part of the worldwide future clean and renewable energy solution. However, fuel cells are …

Short-term performance degradation prediction of a commercial vehicle fuel cell system based on CNN and LSTM hybrid neural network

B Sun, X Liu, J Wang, X Wei, H Yuan, H Dai - International Journal of …, 2023 - Elsevier
Short-term performance degradation prediction is significant for fuel cell system control and
health management. This paper presents a hybrid deep learning method by combining the …

Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies

M Yue, S Jemei, R Gouriveau, N Zerhouni - International Journal of …, 2019 - Elsevier
Considering the overwhelming pressure on worldwide demand of fossil fuels and the
climate change caused by air pollution, hybrid electric vehicles have seen a promising future …

Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation

H Li, A Ravey, A N'Diaye, A Djerdir - Energy conversion and management, 2019 - Elsevier
The aim of this paper is to present an on-line adaptive equivalent consumption minimum
strategy (AECMS) for fuel cell hybrid electric vehicle powered by fuel cell, battery and …