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

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.

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

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)