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A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm
Open accessAbstract
This paper proposes a new methodology for the optimal selection of the parameters for proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal parameter selection of the circuit-based model of the PEMFC model to minimize the sum of squared error (SSE) value between the estimated and the actual output voltage of the PEMFC stack. For minimizing the SSE, a newly developed model of the Sunflower Optimization Algorithm (DSFO) is proposed. Performance analysis is performed based on two practical models including NedSstack PS6 PEMFC and Horizon 500-W PEMFCs from the literature and the results have been compared with the empirical data and also some state of art methods including Seagull Optimization Algorithm (SOA), Multi-verse optimizer (MVO), and Shuffled Frog-Leaping Algorithm (SFLA). Final results indicate 2.18 and 0.014 SSE value for NedSstack PS6 PEMFC and Horizon 500-W open cathode PEMFC, respectively which are the minimum values compared with the other compared methods.
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Cites
Coyote optimization algorithm: A new metaheuristic for global optimization problems
Pierezan, J., & Dos Santos Coelho, L. (2018) · 2018 IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2018.8477769 · Cited by 645
Cited by
Sealing performance and mechanical behavior of PEMFCs sealing system based on thermodynamic coupling
Zhang, J., & Hu, Y. (2020) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2020.06.167 · Cited by 56
Metadata
- Authors
- Yuan, Z., Wang, W., Wang, H., & Razmjooy, N.
- Venue
- Energy Reports
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 6
- Pages
- 662-671
- ISSN
- 2352-4847 (ISSN-L)
- OpenAlex
- W3022672521
- Cited by
- 162
- References
- 1
- FWCI
- 10.04
- Type
- journal article
- Language
- en
- Open access
- gold
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- Yuan, Z., Wang, W., Wang, H., & Razmjooy, N. (2020). A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm. Energy Reports. https://doi.org/10.1016/j.egyr.2020.03.010
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
