Modeling and Control Strategies of Proton Exchange Membrane Fuel Cells
(2019) 2018 Renewable Energy Integration with Mini/Microgrid, REM 2018 In Energy Procedia 159. p.54-59- Abstract
In this work, comprehensive mathematical models for polymer electrolyte fuel cells (PEFCs) with three different controllers (PID, FOPID and fuzzy + PID) are developed. The models are designed to control the PEMFCs' output voltage at a determined value by indirectly regulating the input hydrogen mass flow rate. The simulation results show that the developed model is well suitable for characterizing the performance a PEFC. The developed controllers are effective in stabilizing the voltage, the fuzzy + PID controller exhibits superior performance with smaller overshoot and faster response.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4868f0cb-5ea9-457f-a65f-4cecdfd07df2
- author
- Qi, Yuanxin LU ; Thern, Marcus LU ; Espinoza-Andaluz, Mayken LU and Andersson, Martin LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- FOPID controller, fuzzy + PID controller, modeling, PEFCs, PID controller
- in
- Energy Procedia
- volume
- 159
- pages
- 6 pages
- publisher
- Elsevier
- conference name
- 2018 Renewable Energy Integration with Mini/Microgrid, REM 2018
- conference location
- Rhodes, Greece
- conference dates
- 2018-09-28 - 2018-09-30
- external identifiers
-
- scopus:85063791914
- ISSN
- 1876-6102
- DOI
- 10.1016/j.egypro.2018.12.017
- language
- English
- LU publication?
- yes
- id
- 4868f0cb-5ea9-457f-a65f-4cecdfd07df2
- date added to LUP
- 2019-04-23 11:05:01
- date last changed
- 2022-04-25 22:40:41
@article{4868f0cb-5ea9-457f-a65f-4cecdfd07df2, abstract = {{<p>In this work, comprehensive mathematical models for polymer electrolyte fuel cells (PEFCs) with three different controllers (PID, FOPID and fuzzy + PID) are developed. The models are designed to control the PEMFCs' output voltage at a determined value by indirectly regulating the input hydrogen mass flow rate. The simulation results show that the developed model is well suitable for characterizing the performance a PEFC. The developed controllers are effective in stabilizing the voltage, the fuzzy + PID controller exhibits superior performance with smaller overshoot and faster response.</p>}}, author = {{Qi, Yuanxin and Thern, Marcus and Espinoza-Andaluz, Mayken and Andersson, Martin}}, issn = {{1876-6102}}, keywords = {{FOPID controller; fuzzy + PID controller; modeling; PEFCs; PID controller}}, language = {{eng}}, pages = {{54--59}}, publisher = {{Elsevier}}, series = {{Energy Procedia}}, title = {{Modeling and Control Strategies of Proton Exchange Membrane Fuel Cells}}, url = {{http://dx.doi.org/10.1016/j.egypro.2018.12.017}}, doi = {{10.1016/j.egypro.2018.12.017}}, volume = {{159}}, year = {{2019}}, }