A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism

C Jia, H He, J Zhou, K Li, J Li, Z Wei - International Journal of Hydrogen …, 2024 - Elsevier
Proton exchange membrane fuel cell (PEMFC) is a highly promising renewable energy
conversion technology. However, durability issues have hindered their large-scale …

Degradation prediction of PEMFC based on BiTCN-BiGRU-ELM fusion prognostic method

Z Hua, Q Yang, J Chen, T Lan, D Zhao, M Dou… - International Journal of …, 2024 - Elsevier
Durability is one of the important factors limiting the large-scale commercial application of
proton exchange membrane fuel cells (PEMFC) systems, and accurate lifetime prediction of …

Health state monitoring and predicting of proton exchange membrane fuel cells: A review

K Li, J Hong, C Zhang, F Liang, H Yang, F Ma… - Journal of Power …, 2024 - Elsevier
Proton exchange membrane fuel cell (PEMFC) is characterized by environmental protection
and energy saving, clean and pollution-free, which is consistent with the development …

A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction

J Zhou, X Shu, J Zhang, F Yi, C Jia, C Zhang… - International Journal of …, 2024 - Elsevier
The performance of proton exchange membrane fuel cells (PEMFCs) will gradually
deteriorate during long-term operation. Accurate performance degradation prediction is …

A novel generalized prognostic method of proton exchange membrane fuel cell using multi-point estimation under various operating conditions

Z Zhang, H He, Y Wang, S Quan, J Chen, R Han - Applied Energy, 2024 - Elsevier
The proton exchange membrane fuel cell has been introduced into the fields of
transportation, power production, and mobile devices. Especially, priority is given to …

State of health prediction for proton exchange membrane fuel cells combining semi-empirical model and machine learning

J Hong, H Yang, F Liang, K Li, X Zhang, H Zhang… - Energy, 2024 - Elsevier
Durability is one of the main reasons limiting the large-scale application of fuel cells.
Accurate prediction of state of health can help improve fuel cells safety and lifetime. This …

A real-time prediction method for PEMFC life under actual operating conditions

J Zhou, J Zhang, F Yi, C Feng, G Wu, Y Li… - Sustainable Energy …, 2024 - Elsevier
The life prediction of proton exchange membrane fuel cell (PEMFC) is one of the methods to
reduce the cost of using fuel cells. This helps to solve the problem of high using costs for fuel …

A health index-based approach for fuel cell lifetime estimation

H Wu, R Zhang, W Zhu, C Xie, Y Li, Y Yang, B Guo… - iScience, 2024 - cell.com
Efficient health indicators (HI) and prediction methods are crucial for assessing the
remaining useful life (RUL) of fuel cells. However, obtaining HI under dynamic conditions …

A degradation prediction method for pem fuel cell based on deep temporal feature extraction and transfer learning

Y Zhang, R Ma, R Xie, Z Feng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The increasing environmental issues such as air pollution and energy scarcity of fossil fuels
require the acceleration of electrification in various fields, especially for transportation …

A refined grey Verhulst model for accurate degradation prognostication of PEM fuel cells based on inverse hyperbolic sine function transformation

R Huang, X Zhang, S Dong, L Huang, H Liao, Y Li - Renewable Energy, 2024 - Elsevier
Accurate prognostication of degradation plays an essential role in effectively enhancing the
operational lifespan of proton exchange membrane fuel cells (PEMFCs). This paper …