Enhancing Efficiency and Stability of Fuel Cell Systems through Air Compressor Performance Optimization
Key Ideas
- Established a multi-physics model for a fuel cell air compressor using test data, leading to a 23.4% improvement in isentropic efficiency at 5000 r/min.
- Developed hierarchical evolutionary models for compressor optimization under various operating conditions, enhancing efficiency and stability.
- Utilized eXtreme Gradient Boosting and Hybrid Variational Artificial Bee Colony model for accurate simulation results with less than 3% error.
- Achieved a comprehensive performance improvement for the compressor with a maximum total improvement percentage non-dominated solution.
The study focuses on the importance of a high-performance air compressor in fuel cell systems to optimize the efficiency and stability of the electrochemical reaction. By constructing a multi-physics simulation model based on test data, the research carried out multi-objective performance optimization of the compressor under different operating conditions. The results showed significant improvements in isentropic efficiency at various rotational speeds, with a maximum improvement of 23.4%. The simulation models demonstrated accurate predictions with minimal errors, showcasing the strong generalization ability of the models used. Through a combination of simulation verification and performance optimization, the study highlights the potential for enhancing energy conversion efficiency and reducing energy waste in fuel cell systems. Overall, the research provides valuable methodological insights and a solid data foundation for the development of high-performance air compressors, essential for the advancement of hydrogen fuel cell technology.
Topics
Power
Energy Efficiency
Fuel Cell Systems
Performance Optimization
Simulation Modeling
Multi-physics Model
Predictive Accuracy
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