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...
Main Authors: | Jian Zhao, Xianguo Li, Chris Shum, John McPhee |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-12-01
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Series: | Energy and AI |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S266654682100063X |
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