A novel pre-diagnosis method for health status of proton exchange membrane fuel cell stack based on entropy algorithms-Reference-Cited by-同舟云学术

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A novel pre-diagnosis method for health status of proton exchange membrane fuel cell stack based on entropy algorithms

Published:2023-10 Issue: Volume:18 Page:100278
ISSN:2590-1168
Container-title:eTransportation
language:en
Short-container-title:eTransportation

Author:

Zhao Lei,Hong Jichao,Yuan Hao,Ming Pingwen,Wei Xuezhe,Dai Haifeng

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Reference65 articles.

1. Research progress of catalyst layer and interlayer interface structures in membrane electrode assembly (MEA) for proton exchange membrane fuel cell (PEMFC) system;Chen;ETransportation,2020

2. Optimal selection and management of hybrid renewable energy System: neom city as a case study;Salameh;Energy Convers Manag,2021

3. A comparative study of corrosion resistance evaluation of bipolar plate materials for proton exchange membrane fuel cell;Leng;ETransportation,2021

4. Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered;Hong;J Clean Prod,2021

5. Dynamic models for air-breathing and conventional polymer electrolyte fuel cells: a comparative study;Calili-Cankir;Renew Energy,2022

Cited by 3 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. Investigation of the energy dissipation mechanism for centrifugal air compressor used for fuel cell based on CFD coupling with CIT;Applied Thermal Engineering;2024-12

2. Review on proton exchange membrane fuel cells: Safety analysis and fault diagnosis;Journal of Power Sources;2024-10

3. Cross-domain diagnosis for polymer electrolyte membrane fuel cell based on digital twins and transfer learning network✰;Energy and AI;2024-09

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