A Review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells

A Review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells

The real-time model-based control of polymer electrolyte membrane (PEM) fuel cells requires a computationally efficient and sufficiently accurate model to predict the transient and long-term performance under various operational conditions, involving the pressure, temperature, humidity, and stoichio...

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Bibliographic Details
Main Authors: Jian Zhao, Xianguo Li, Chris Shum, John McPhee
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Energy and AI
Subjects:
Polymer electrolyte membrane fuel cell
Physics-based model
Real-time control
Reduced dimensionality
Empirical model
Data-driven model
Online Access:http://www.sciencedirect.com/science/article/pii/S266654682100063X

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http://www.sciencedirect.com/science/article/pii/S266654682100063X

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