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 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 …

[HTML][HTML] Health management review for fuel cells: Focus on action phase

J Zuo, NY Steiner, Z Li, D Hissel - Renewable and Sustainable Energy …, 2024 - Elsevier
Proton exchange membrane fuel cells offer a sustainable solution to electrical power
generation and combined power and heat applications, even if they still encounter durability …

Efficient degradation prediction of PEMFCs using ELM-AE based on fuzzy extension broad learning system

Z Deng, SH Chan, Q Chen, H Liu, L Zhang, K Zhou… - Applied Energy, 2023 - Elsevier
Degradation prediction is an important part of proton exchange membrane fuel cells
(PEMFCs) prognostic research, and it is essential for prolonging the durability of PEMFCs …

Remaining useful life prediction of vehicle-oriented PEMFC systems based on IGWO-BP neural network under real-world traffic conditions

J Yang, L Wang, B Zhang, H Zhang, X Wu, X Xu… - Energy, 2024 - Elsevier
Accurately predicting the useful life can serve as a pivotal reference for effectively extending
the lifespan of proton exchange membrane fuel cells (PEMFCs). Herein, this paper proposes …

Transformer based long-term prognostics for dynamic operating PEM fuel cells

J Lv, Z Yu, H Zhang, G Sun, P Muhl… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Proton exchange membrane fuel cells (PEMFCs) are considered clean alternative energy
that has been widely used in many fields. However, the large-scale commercialization of …

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 …

[HTML][HTML] Accuracy improvement of fuel cell prognostics based on voltage prediction

C Liu, J Shen, Z Dong, Q He, X Zhao - International Journal of Hydrogen …, 2024 - Elsevier
Proton exchange membrane fuel cell (PEMFC) is a promising hydrogen technique with
various application prospects. However, all the PEMFCs are subject to degradation resulting …

Transfer learning-based deep learning models for proton exchange membrane fuel remaining useful life prediction

GA Kebede, SC Lo, FK Wang, JH Chou - Fuel, 2024 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) offer power generation capabilities for
diverse applications including commercial enterprises, industrial sectors, and residential …

A hybrid health prognostics method for proton Exchange membrane fuel cells with internal health recovery

W Peng, Z Wei, CG Huang, G Feng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Existing health prognostics methods often omit the internal health recovery of proton
exchange membrane fuel cells (PEMFCs), although this phenomenon commonly exists …