Abstract
This study aims to develop an optimized power control strategy for fuel cell systems. The strategy focuses on adjusting the system's net power using a classical feedback controller while optimizing the oxygen excess ratio (λo2). Ensuring the optimal λo2 value is essential in all operating conditions to avoid performance degradation due to oxygen deficiency and to prevent unnecessary energy consumption caused by excess oxygen. A data-driven reference generator is designed to produce the optimal λo2 reference value. A fuzzy logic based PID controller, offering flexibility for nonlinear system dynamics, is used for λo2 control. Additionally, a feedforward controller is added in λo2 control to reduce the coupling effect related net power. The proposed control strategy was tested on an open-source fuel cell model, achieving a decoupling effect on λo2 response with negligible impact on power performance.
Translated title of the contribution | Optimizing Fuel Cell System Power Using Fuzzy Logic Based PID Controller |
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Original language | Turkish |
Title of host publication | Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798331518035 |
DOIs | |
Publication status | Published - 2024 |
Externally published | Yes |
Event | 2024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024 - Bursa, Turkey Duration: 28 Nov 2024 → 30 Nov 2024 |
Publication series
Name | Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings |
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Conference
Conference | 2024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024 |
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Country/Territory | Turkey |
City | Bursa |
Period | 28/11/24 → 30/11/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.