Whole life cycle performance degradation test and RUL prediction research of fuel cell MEA-Reference-Cited by-同舟云学术

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Whole life cycle performance degradation test and RUL prediction research of fuel cell MEA

Published:2022-03 Issue: Volume:310 Page:118556
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Chen Hong,Zhan Zhigang,Jiang Panxing,Sun Yahao,Liao Liwen,Wan Xiongbiao,Du Qing,Chen Xiaosong,Song Hao,Zhu Ruijie,Shu Zhanhong,Li Shang,Pan Mu

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference44 articles.

1. An evaluation method of gas distribution quality in dynamic process of proton exchange membrane fuel cell;Chen;Appl Energy,2018

2. A review of durability test protocols of the proton exchange membrane fuel cells for vehicle;Chen;Appl Energy,2018

3. Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review;Liu;Renew and Sustain Energy Rev,2020

4. A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition;Zhang;Appl Energy,2018

5. Lifetime prediction and the economic lifetime of Proton Exchange Membrane fuel cells;Chen;Appl Energy,2015

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Degradation prediction of proton exchange membrane fuel cell using a novel neuron-fuzzy model based on light spectrum optimizer;Renewable Energy;2024-11

2. Health management review for fuel cells: Focus on action phase;Renewable and Sustainable Energy Reviews;2024-09

3. Degradation prediction of fuel cell systems based on different operating conditions in dynamic cycling condition;Heliyon;2024-08

4. Advances of membrane electrode assembly aging research of proton exchange membrane fuel cell under variable load: degradation mechanism, aging indicators, prediction strategy, and perspectives;Ionics;2024-07-03

5. A model with high-precision on proton exchange membrane fuel cell performance degradation prediction based on temporal convolutional network-long short-term memory;International Journal of Hydrogen Energy;2024-07

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