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 systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring

W Ming, P Sun, Z Zhang, W Qiu, J Du, X Li… - International Journal of …, 2023 - Elsevier
A fuel cell is a power generation device that directly converts chemical energy into electrical
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …

A health management review of proton exchange membrane fuel cell for electric vehicles: Failure mechanisms, diagnosis techniques and mitigation measures

C Zhang, Y Zhang, L Wang, X Deng, Y Liu… - … and Sustainable Energy …, 2023 - Elsevier
Hydrogen-fed proton exchange membrane fuel cell (PEMFC) have been widely explored
and applied as the power units in the electric vehicles. However, their life-span under the …

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 …

Machine learning toward advanced energy storage devices and systems

T Gao, W Lu - Iscience, 2021 - cell.com
Technology advancement demands energy storage devices (ESD) and systems (ESS) with
better performance, longer life, higher reliability, and smarter management strategy …

Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning

W He, T Liu, W Ming, Z Li, J Du, X Li, X Guo… - … and Sustainable Energy …, 2024 - Elsevier
Hydrogen fuel cells are promising power sources that directly transform the chemical energy
produced by the chemical reaction of hydrogen and oxygen into electrical energy. However …

Life prediction of lithium-ion batteries based on stacked denoising autoencoders

F Xu, F Yang, Z Fei, Z Huang, KL Tsui - Reliability Engineering & System …, 2021 - Elsevier
Accurate life prediction of lithium-ion batteries is important to help assess battery quality in
advance, improve long-term battery planning, and subsequently guarantee the safety and …

Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks

J Liu, Q Li, W Chen, Y Yan, Y Qiu, T Cao - International Journal of …, 2019 - Elsevier
To solve the prediction problem of proton exchange membrane fuel cell (PEMFC) remaining
useful life (RUL), a novel RUL prediction approach of PEMFC based on long short-term …

Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review

H Liu, J Chen, D Hissel, J Lu, M Hou, Z Shao - Renewable and Sustainable …, 2020 - Elsevier
Prognostics is a promising solution to the short lifetime and high-cost bottlenecks of proton
exchange membrane fuel cells (PEMFCs). The advances of PEMFCs prognostics research …

Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells

S Ong, A Al-Othman, M Tawalbeh - Energy, 2023 - Elsevier
Fuel cells have been regarded as promising power sources for cleaner energy production.
Despite their high theoretical efficiency, fuel cells are still challenged with their durability …