Proton Exchange Membrane Fuel Cells (PEMFC) are one of the preferred technologies for decarbonizing the
transport sector, due to their autonomy and ease of recharging. However, their large-scale democratization is
hampered by their high cost, which is compounded by their unsatisfactory durability.
Early degradation of PEMFCs is concentrated on their constituent parts, and in particular on the membrane
that acts as the electrolyte, which is highly sensitive to variations in humidity and temperature during use.
What's more, the distribution of these quantities over the surface of the membrane can be highly
heterogeneous, making it difficult to measure with simple sensors. To anticipate potential degradation while
improving performance, acceptable operating conditions in terms of humidity and temperature need to be
maintained throughout the cell. It is in this area that this thesis focuses, firstly by estimating the stack's
internal variables (humidity, temperature, quantities of materials) in real time to a satisfactory degree of
accuracy, which will then be used as information for adapting the stack's control laws. This thesis will
contribute to the development of accurate and fast stack models and real-time control strategies in order to
remove the scientific barriers that currently prevent the sustainable use of PEMFCs.
The PhD student will develop skills in control engineering, physical modelling, computer science and
optimization, and will be likely to forge close links with high-level academic and industrial partners.
Keywords: fuel cell, hydrogen, soft sensor
Academic supervisor Dr Florent DI MEGLIO, florent.di_meglio@minesparis.psl.eu , CAS, ORCID : 0000-0002-0232-6130
Doctoral School ED 621, Ecole des Mines Paris
IFPEN supervisor_ Dr Gontran LANCE, gontran.lance@ifpen.fr, ORCID : 0009-0005-0347-3713
Duration and start date 3 years, starting in the fourth quarter 2024 (November 2024)
Academic requirements University Master degree in applied mathematics, automation, signal
processing, electrochemistry
Location IFPEN and Mines Paris, France
Language requirements English level B2 (CEFR)
Other requirements Good programming skills in MATLAB and/or Python,
C/C++ would be welcomed
To apply, please send your cover letter and CV to the supervisors indicated here above.
About IFP Energies nouvelles
IFP Energies nouvelles is a French public-sector research, innovation and training center. Its mission is to
develop efficient, economical, clean and sustainable technologies in the fields of energy, transport and the
environment. For more information, see our WEB site.
IFPEN offers a stimulating research environment, with access to first in class laboratory infrastructures and
computing facilities. IFPEN offers competitive salary and benefits packages. All PhD students have access to
dedicated seminars and training sessions.