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Mathias GERARD

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Published on 4 March 2025
 

Mathias GERARD

Dr. Hab.​

Senior Expert​

An expert in electrochemical converters and, especially, fuel cells, Mathias Gérard uses multiphysics modeling to enable system-level lifespan optimizations.

After earning an electrical engineering degree with a specialization in energy from INSA Lyon in 2007, he went on to earn a master's degree at CEA-Liten in Grenoble, where his research was supervised by Dr. A. Alejandro Franco. He earned his PhD from Franche-Comté University in 2010, conducting his research—supervised by Prof. Daniel Hissel and Dr. Jean-Philippe Poirot-Crouvezie—in conjunction with CEA-Liten and FCLAB. The topic of his dissertation was the study of fuel cell-system interactions to optimize PEMFC lifespans.

He was granted accreditation to supervise research (Habilitation à Diriger des Recherches, or HDR) at Grenoble Alpes University in 2021. 

Since then, he has supervised ten PhDs and four postdoctoral students. He has also led EU and industrial projects on fuel cells and hybrid systems for transportation (automotive and aeronautics), where he has applied simulation and HiL validation techniques.

As head of the battery and fuel cell laboratory from 2016 to 2022, he co-developed the multiscale and multiphysics battery and fuel-cell modeling activity. Since 2023, he has headed a research unit that focuses on hydrogen technologies.

His expertise in multiscale modeling and experimental validation has led to improvements in PEMFC durability and performance.

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Do​​mains​​​​

Hydrogène, molédules et carburants durables 

Team

  • ​​10 staff
  • 0 postdocs
  • 3 PhD students​​​​​

Research Activities​​​

- PEMFC lifespan prediction and optimization using bottom-up multiphysics modeling;

- Development of digital twins of hydrogen technologies;

- Optimization of operating systems, predictive maintenance, and fault detection and isolation.​


Selected publications and conferences:  


  • Physics-guided fault diagnosis method for proton exchange membrane fuel cells based on LSTM neural network, Journal of Power Sources, 2025,
     DOI: 10.1016/j.jpowsour.2024.235696
  • Offline Power Management Strategy for Fuel Cell Electric Race Car Sizing Using Bi-Level Optimization Based Methodology, 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023, 2023,
     DOI: 10.1109/CoDIT58514.2023.10284316
  • Optimisation de la durée de vie des systèmes électrogènes : Une approche basée système par modélisation multi-physiques appliquée aux piles à combustible PEMFC, Energie électrique. Université Grenoble-Alpes, 2021.
  • Fault Detection and Isolation for Proton Exchange Membrane Fuel Cell Using Impedance Measurements and Multiphysics Modeling, Fuel Cells, 2020,
     DOI: 10.1002/fuce.202000022
  • Fuel cell management system: Pemfc lifetime optimization by model based approach, ECS Transactions, 2018,
     DOI: 10.1149/08613.0025ecst
  • Polymer Electrolyte Fuel Cells Lifetime Prediction By a Full Multi-Scale Modeling Approach, ECS Transactions, 2016, invited

Selected patents: ​

  • 2023 | Fuel cell adapted for characterising at least one pollutant present in a reagent gas, EP3813168B1
  • 2023 | Méthode de détermination d’un indicateur de dégradation d’une pile à combustible, basée sur un observateur Bayésien hybride, FR3131664B1
  • 2019 | Pile à combustible à plaques de maintien de type pcb comportant des compartiments d'alimentation et d'évacuation en fluides réactifs, EP3799173
  • 2019 | Pile à combustible adaptée à caractériser au moins un polluant présent dans un gaz réactif, EP3813168