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 …

[HTML][HTML] Polymer electrolyte membrane fuel cell and hydrogen station networks for automobiles: Status, technology, and perspectives

Y Wang, H Yuan, A Martinez, P Hong, H Xu… - Advances in Applied …, 2021 - Elsevier
The US transportation sector accounts for 37% of total energy consumption. Automobiles are
a primary application of polymer electrolyte membrane (PEM) fuel cells, which operate …

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 …

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 …

Recent progress and challenges of multi-stack fuel cell systems: Fault detection and reconfiguration, energy management strategies, and applications

R Ma, X Chai, R Geng, L Xu, R Xie, Y Zhou… - Energy Conversion and …, 2023 - Elsevier
The fuel cell is a powerful and environmentally friendly power generation device that is
widely used. However, conventional single-stack fuel cell systems (SFCS) may not be able …

Remaining useful life prediction of PEMFC systems based on the multi-input echo state network

Z Hua, Z Zheng, MC Péra, F Gao - Applied Energy, 2020 - Elsevier
The limited durability is one of the key barriers of Proton Exchange Membrane Fuel Cell
(PEMFC) to large-scale commercial applications. The data-driven prognostic method aims to …

Review on hydrogen fuel cell condition monitoring and prediction methods

RH Lin, XN Xi, PN Wang, BD Wu, SM Tian - International Journal of …, 2019 - Elsevier
A hydrogen fuel cell combines oxygen and hydrogen to generate electricity, which becomes
a promising power source. The conditions of the fuel cell, such as health status, and faults …

Recent advances and summarization of fault diagnosis techniques for proton exchange membrane fuel cell systems: A critical overview

J Wang, B Yang, C Zeng, Y Chen, Z Guo, D Li… - Journal of Power …, 2021 - Elsevier
With soaring growth in the utilization of proton exchange membrane fuel cell (PEMFC)
systems on various applications, researches on fault diagnosis techniques of PEMFC …

A novel approach based on semi-empirical model for degradation prediction of fuel cells

M Ou, R Zhang, Z Shao, B Li, D Yang, P Ming… - Journal of Power …, 2021 - Elsevier
This work proposes a semi-empirical model-based prognostics method which can achieve
degradation prediction and estimate the remaining useful life of proton exchange membrane …