A non-stationary transformer-based remaining useful life prediction method for proton exchange membrane fuel cells-Reference-Cited by-同舟云学术

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A non-stationary transformer-based remaining useful life prediction method for proton exchange membrane fuel cells

Published:2024-03 Issue: Volume:60 Page:1121-1133
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Fu Shengxiang,Zhang Dongfang,Xiao Yao,Zheng Chunhua

Funder

Chinese Academy of Sciences

Guangdong Provincial Department of Science and Technology

Science, Technology and Innovation Commission of Shenzhen Municipality

Publisher

Elsevier BV

Reference47 articles.

1. A comprehensive review on hybrid power system for PEMFC-HEV: issues and strategies;Lü;Energy Convers Manag,2018

2. An extreme gradient boosting-based thermal management strategy for proton exchange membrane fuel cell stacks;Fu;J Power Sources,2023

3. Nonlinear methods for evaluating and online predicting the lifetime of fuel cells;Pei;Appl Energy,2019

4. System integration, durability and reliability of fuel cells: challenges and solutions;Wang;Appl Energy,2017

5. Two-stage aging trajectory prediction of LFP lithium-ion battery based on transfer learning with the cycle life prediction;Zhou;Green Energy and Intelligent Transportation,2022

Cited by 1 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. Deep Learning-Based State-of-Health Estimation of Proton-Exchange Membrane Fuel Cells under Dynamic Operation Conditions;Sensors;2024-07-10

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