Data-Driven Control for Proton Exchange Membrane Fuel Cells: Method and Application

Data-Driven Control for Proton Exchange Membrane Fuel Cells: Method and Application

A data-driven optimal control method for an air supply system in proton exchange membrane fuel cells (PEMFCs) is proposed with the aim of improving the PEMFC net output power and operational efficiency. Moreover, a marginal utility-based double-delay deep deterministic policy gradient (MU-4DPG) algo...

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Bibliographic Details
Main Authors: Jiawen Li, Kedong Zhu, Tao Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Energy Research
Subjects:
proton exchange membrane fuel cells
PID controller
data-driven optimal control
double-delay deep deterministic policy gradient
control system
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.748782/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.748782/full

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