Abstract
This paper studies the relationship between the optimal operating temperature of the air-cooled PEMFC stack and the ambient temperature, humidity and operating current through experiments. The air-cooled fuel cell voltage model, stack temperature model and working chamber model are established. A collaborative control system based on fuzzy PID stack temperature and working chamber temperature based on BP neural network is designed, and the control effect of the control system in low temperature environment is verified by simulation experiments.
| Original language | English |
|---|---|
| Title of host publication | EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2694-2698 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350347159 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
| Event | 6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022 - Chengdu, China Duration: 11 Nov 2022 → 13 Nov 2022 |
Publication series
| Name | EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration |
|---|
Conference
| Conference | 6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022 |
|---|---|
| Country/Territory | China |
| City | Chengdu |
| Period | 11/11/22 → 13/11/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- air-cooled PEMFC
- collaborative control
- low temperature environment
- optimal working temperature
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