Fuel Cell System Modeling Dedicated to Performance Estimation in the Automotive Context
Antony Plait, Pierre Saenger, David Bouquain
AI summary
60% confidenceA comprehensive modeling approach is proposed for fuel cell systems, encompassing multiple components and their interactions to estimate performance in automotive contexts.
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Abstract
In this paper, a meticulous modeling approach is proposed not only for a fuel cell stack itself but also for all auxiliary components that collectively form the fuel cell system. This comprehensive modeling approach encompasses a wide range of components, including, but not limited to, the hydrogen recirculation pump and the air compressor. Each component is thoroughly analyzed and modeled based on the detailed specifications provided by suppliers. This involves considering factors such as efficiency, operating parameters, response times, and interactions with other system elements. By integrating these detailed models, a holistic understanding of the entire fuel cell system’s performance can be attained. Such an approach enables engineers and designers to simulate various operating scenarios, predict system behavior under different conditions, and optimize the system design for maximum efficiency and reliability. Moreover, it allows for informed decision-making throughout the system’s development, deployment, and operational phases, ultimately leading to more robust and effective energy systems. The model validation is performed by comparing experimental data to theoretical results, and the observed difference does not exceed 3%.
Key findings
- The proposed modeling approach enables engineers to simulate various operating scenarios and predict system behavior under different conditions.
- The model validation is performed by comparing experimental data to theoretical results, demonstrating the accuracy of the proposed approach.
- The comprehensive modeling approach allows for informed decision-making throughout the system's development, deployment, and operational phases.
Keywords
Identifiers
- Journal
- Energies
- Year
- 2024