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 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 …

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 …

A novel long short-term memory networks-based data-driven prognostic strategy for proton exchange membrane fuel cells

C Wang, Z Li, R Outbib, M Dou, D Zhao - International Journal of Hydrogen …, 2022 - Elsevier
Proton exchange membrane fuel cell (PEMFC) long-term prognostic facilitates reducing the
time/cost of the durability tests and is a critical starting point for control/maintenance …

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 proton exchange membrane fuel cells with model uncertainty quantification

Y Yang, X Yu, W Zhu, C Xie, B Zhao, L Zhang, Y Shi… - Renewable Energy, 2023 - Elsevier
This study presents a new approach for state of health (SOH) estimation and degradation
trend prediction of proton exchange membrane fuel cells (PEMFCs) considering model …

Performance degradation decomposition-ensemble prediction of PEMFC using CEEMDAN and dual data-driven model

C Li, W Lin, H Wu, Y Li, W Zhu, C Xie, HB Gooi… - Renewable Energy, 2023 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) are essential modern sustainable energy
generation devices. Since such an electrochemical system has a limited lifetime, accurately …

Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load

C Wang, M Dou, Z Li, R Outbib, D Zhao, J Zuo… - Reliability Engineering & …, 2023 - Elsevier
Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange
membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load …

An LSTM and ANN fusion dynamic model of a proton exchange membrane fuel cell

W Li, X Wang, L Wang, L Jia, R Song… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A proton exchange membrane fuel cell (PEMFC) has great application prospects due to its
low emission and high efficiency. An accurate model to predict the dynamic output voltage is …

Performance degradation prediction method of PEM fuel cells using bidirectional long short-term memory neural network based on Bayesian optimization

D Chen, W Wu, K Chang, Y Li, P Pei, X Xu - Energy, 2023 - Elsevier
Proton exchange membrane (PEM) fuel cell is the core equipment that can directly convert
hydrogen energy into electricity. In the process of long-term operation, due to the aging of …