Performance-oriented model learning and model predictive control for PEMFC air supply system-Reference-Cited by-同舟云学术

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Performance-oriented model learning and model predictive control for PEMFC air supply system

Published:2024-04 Issue: Volume:64 Page:339-348
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Deng Zhihua,Chen Ming,Wang Haijiang,Chen Qihong

Funder

Guangdong Innovative and Entrepreneurial Research Team Program

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference37 articles.

1. Control strategy review for hydrogen-renewable energy power system;Arafat;J Energy Storage,2023

2. A critical survey of proton exchange membrane fuel cell system control: Summaries, advances, and perspectives;Yang;Int J Hydrogen Energy,2022

3. Efficient degradation prediction of PEMFCs using ELM-AE based on fuzzy extension broad learning system;Deng;Appl Energy,2023

4. Review of the proton exchange membranes for fuel cell applications;Peighambardoust;Int J Hydrogen Energy,2010

5. Effects of temperature on the performance of fuel cell hybrid electric vehicles: a review;Song;Appl Energy,2021

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. A review of control strategies for proton exchange membrane (PEM) fuel cells and water electrolysers: From automation to autonomy;Energy and AI;2024-09

2. Modeling and simulation of the PEMFC system equipped with a variable geometry turbocharger;International Journal of Hydrogen Energy;2024-08

3. A Nonlinear Active Disturbance Rejection Feedback Control Method for Proton Exchange Membrane Fuel Cell Air Supply Subsystems;Actuators;2024-07-14

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