Parameter estimation study of polymer electrolyte membrane fuel cell using artificial hummingbird algorithm

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dc.authorid0000-0001-8978-4814
dc.authorid0000-0001-9156-7093
dc.contributor.authorÇelik, Muhammet
dc.contributor.authorSoylu, Selim
dc.date.accessioned2023-01-16T10:34:41Z
dc.date.available2023-01-16T10:34:41Z
dc.date.issued2023
dc.departmentMühendislik Fakültesi
dc.description.abstractThis study represents a comprehensive investigation of the performance of Artificial Hummingbird Algorithm for parameter estimation for Polymer Electrolyte Membrane Fuel Cell. With this purpose, four commercial fuel cell systems which were widely preferred in the literature such as NedStack PS6 (Case-I), 250 W fuel cell stack (Case-II), Horizon 500 W (Case-III), and BCS 500 W (Case-IV) were chosen. In order to compare the performance of this algorithm, seven well-known optimization techniques including Artificial Bee Colony, Salp Swarm Optimization, Particle Swarm Optimization, Gray Wolf Optimization, Genetic Algorithm, Harris Hawks Optimization, and Whale Optimization Algorithm were used. The sum of the squared errors, computational speed, and statistical measurements were calculated for the performance comparison. In this context, the best SSE values were found as 2.06556, 5.25017, 0.02477, 0.01170 for Case-I, Case-II, Case-III, and Case-IV, respectively. The best standard deviation value was found as 1e?6 for the Case-III. Based on the obtained results, the Artificial Hummingbird Algorithm established itself as a competitive optimization technique for parameter estimation study of PEMFC in terms of computational speed and robustness.
dc.identifier.doi10.1177/09544062221133766
dc.identifier.issn0954-4062
dc.identifier.scopusqualityQ2
dc.identifier.urihttps:/dx.doi.org/10.1177/09544062221133766
dc.identifier.urihttps://hdl.handle.net/20.500.12451/9936
dc.identifier.wosWOS:000879117300001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSAGE Publications Ltd
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectArtificial Hummingbird Algorithm
dc.subjectFuel Cell
dc.subjectParameter Estimation
dc.subjectPolymer Electrolyte Membrane Fuel Cells
dc.subjectRenewable Energy
dc.titleParameter estimation study of polymer electrolyte membrane fuel cell using artificial hummingbird algorithm
dc.typeArticle

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