Real-Time Fuel Cell Model Development Challenges for Cyber-Physical Systems in Hybrid Power Applications
Author(s) -
David Tucker,
Nor Farida Harun,
Valentina Zaccaria,
Kenneth M. Bryden,
Comas Haynes
Publication year - 2017
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1115/gt2017-65242
Subject(s) - cyber physical system , computer science , solid oxide fuel cell , transient (computer programming) , electric power system , high fidelity , component (thermodynamics) , stability (learning theory) , control engineering , embedded system , power (physics) , distributed computing , engineering , electrical engineering , physics , quantum mechanics , operating system , chemistry , electrode , machine learning , anode , thermodynamics
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