Communication Dans Un Congrès Année : 2023

A dynamic 1D+1D physical model of the PEMFC hydrogen stack for embedded systems

Résumé

Fuel cell technologies are rapidly developing in recent years to decarbonize heavy transports with the use of hydrogen1. However, the automated control of these systems is generally based on dynamic 0D models that consider fuel stacks as black boxes, sacrificing accuracy for simplicity and short computation times2. Other models in the literature are generally 2D or 3D, which offer accuracy, but require a lot of computing time and power3, and therefore cannot be used for embedded systems. Models based on artificial intelligence (AI) are also being developed, which offer a combination of accuracy and speed, but are ineffective when it comes to extrapolating operating conditions that are too different from those for which they were trained4, which bring risk.

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Dates et versions

hal-04680227 , version 1 (28-08-2024)

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Identifiants

  • HAL Id : hal-04680227 , version 1

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Raphaël Gass, Zhongliang Li, Rachid Outbib, Samir Jemei, Daniel Hissel. A dynamic 1D+1D physical model of the PEMFC hydrogen stack for embedded systems. International Conference on Fundamentals and Development of Fuel Cells, Sep 2023, Ulm, Germany. ⟨hal-04680227⟩
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