Real-time prediction models for remaining cold start time in proton exchange membrane fuel cell based on stack temperature

Real-time prediction models for remaining cold start time in proton exchange membrane fuel cell based on stack temperature

In order to mitigate the irreversible damage caused by cold start and preserve cell performance, this paper proposes a real-time prediction method based on the remaining cold start time of the proton exchange membrane fuel cell (PEMFC). This method can protect the cell by referencing the current col...

书目详细资料
Main Authors:	Huiying Zhang, Yuhang Wang, Suoying He, Ming Gao
格式:	文件
语言:	English
出版:	Elsevier 2023-12-01
丛编:	Case Studies in Thermal Engineering
主题:	Back propagation neural network Cold start Hybrid prediction method Long short-term memory neural network Proton exchange membrane fuel cell Real-time prediction
在线阅读:	http://www.sciencedirect.com/science/article/pii/S2214157X23010006

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