Enhancing the Efficiency and Lifetime of a Proton Exchange Membrane Fuel Cell Using Nonlinear Model-Predictive Control With Nonlinear Observation

The aim of this research is to develop and test in a simulation environment an advanced model-based control solution for a proton exchange membrane fuel cell (PEMFC) system. A nonlinear model-predictive control (NMPC) strategy is proposed to maximize the active catalytic surface area at the cathode...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) Vol. 64; no. 8; pp. 6649 - 6659
Main Authors: Luna, Julio, Usai, Elio, Husar, Attila, Serra, Maria
Format: Journal Article Publication
Language:English
Published: New York IEEE 01.08.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers (IEEE)
Subjects:
Active control
Atmospheric modeling
Automàtica i control
Catalysis
Catalysts
Cathodes
Classificació INSPEC
Computer simulation
Control nonlinearities
Control systems
Control theory
Cooling systems
Degradation
electrochemically active surface area
Fluid dynamics
Fuel cells
Hydrogen
Informàtica
Load modeling
Mathematical models
Nonlinear control
nonlinear model predictive control
nonlinear model-predictive control (NMPC)
nonlinear observation
observability
Physical simulation
power system control
Predictive control
Predictive models
Proton exchange membrane fuel cells
proton exchange membrane fuel cells (PEMFCs)
starvation
Strategy
Àrees temàtiques de la UPC
ISSN:0278-0046, 1557-9948
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The aim of this research is to develop and test in a simulation environment an advanced model-based control solution for a proton exchange membrane fuel cell (PEMFC) system. A nonlinear model-predictive control (NMPC) strategy is proposed to maximize the active catalytic surface area at the cathode catalyst layer to increase the available reaction area of the stack and to avoid starvation at the catalyst sites. The PEMFC stack model includes a spatial discretization that permits the control strategy to take into account the internal conditions of the system. These internal states are estimated and fed to the NMPC via a nonlinear distributed parameters observer. The air-fed cathode of the PEMFC simulation model includes a two-phase water model for better representation of the stack voltage. The stack temperature is regulated through the use of an active cooling system. The control strategy is evaluated in an automotive application using a driving cycle based on the New European Driving Cycle profile as the case study.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2017.2682787