Dataset : Model energetic macroscopic representation (EMR) of the Fuel Cell and leads to a so-called maximal control structure (MCS)

RightsAttribution, Non Commercial, Share Alike
vignette
Collection

Quotation

Loïc Boulon (2022): Model energetic macroscopic representation (EMR) of the Fuel Cell and leads to a so-called maximal control structure (MCS). Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies (UMR 6174). FR-18008901306731-2022-04-28

General metadata

Identifier : local : FR-18008901306731-2022-04-28
Description :
This modeling presents the control part of a proton exchange membrane fuel cell (PEMFC).

The objective of the model is to represent the voltage control chain of the PEMFC.
This model is based on an energetic macroscopic representation (EMR) of the fuel cell and then leads to a so-called maximum control structure (MCS).

The SCM is a step-by-step inversion of the REM (control structure based on an inversion model). The control design process is based on an explicit problem definition. For example, control inputs, system objectives, or constraints are highlighted to organize the control. In addition, the MSC shows where sensors are needed and where controllers are required.

Unfortunately, the SCM is only a theoretical control structure. Therefore, a realistic structure requires some simplifications, which leads to a so-called practical control structure.
Disciplines :
electrochemistry (chemistry), computer science, artificial intelligence (engineering science), energy & fuels (engineering science), engineering, electrical & electronic (engineering science), engineering, industrial (engineering science), logic (mathematics), mathematics (mathematics), instruments & instrumentation (physics), physics, atomic, molecular & chemical (physics), physics, mathematical (physics), multidisciplinary sciences
Keywords :

Dates :
Data acquisition : from 1 Oct 2007 to 6 Jun 2010
Data provision : 1 Jan 2022
Metadata record :
Creation : 28 Apr 2022

Language : French (fra)
Additional information :
Model created during a thesis in electrical engineering, by Loïc Boulon (his research focuses on the modeling and control of hybrid electric vehicles, energy and power sources, and fuel cell systems).

He worked towards his Ph.D. degree at the University of Franche-Comté, Belfort, France, where his dissertation was complet in collaboration with the FEMTO-ST,
Belfort, and the L2EP Laboratories, Lille.

Co-supervision by Daniel Hissel (PU at FEMTO-ST laboratory), Alain Bouscayrol (PU at L2EP laboratory) and Marie-Célie Péra (PU at FEMTO-ST laboratory)
Audience : Research

Administrative metadata

Data creatorAffiliation
Loïc BoulonFEMTO-ST (FRA)
ContributorsAffiliationRole
Daniel HisselFEMTO-ST (FRA)project member
Marie-Cécile PéraFEMTO-ST (FRA)project member
Alain BouscayrolL2EP (FRA)project member
Publisher : Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies (UMR 6174)
Label : Plateforme Hydrogène-Energie
Science contact : Daniel Hissel e-mail
Computing contact : Daniel Hissel e-mail
Project and funder :
Access : available

Technical metadata

Formats : text/x-matlab
Data acquisition methods :
  • Simulation or computational data :
    - Programming language: Matlab language

    - Platform/OS: Microsoft Windows, Mac OS, Linux,...

    - Version: MATLAB R2018a

    - Development status: Active
Datatype : Dataset

Publications

  • From Modeling to Control of a PEM Fuel Cell Using Energetic Macroscopic Representation, Loïc Boulon, Daniel Hissel, Alain Bouscayrol, and Marie-Cécile Péra (doi:10.1109/TIE.2009.2026760)
About
Terms of use
Contact
© OSU-THETA, CNRS