Thermal behavior estimation of the power switches with an empirical formulation optimized by Artificial Bee Colony algorithm

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dc.contributor.authorUnlersen, Muhammed Fahri
dc.contributor.authorBalci, Selami
dc.contributor.authorSabanci, Kadir
dc.date.accessioned2024-02-23T14:13:17Z
dc.date.available2024-02-23T14:13:17Z
dc.date.issued2021
dc.departmentNEÜen_US
dc.description.abstractTemperature rise and thermal management in power electronic circuits is a very important issue both electrically and in terms of more compact circuit design. Considering the non-linear temperature rise in the power switches, it is necessary to accurately estimate the temperature rise before the circuit can be experimentally executed. In this study, the temperature rise values in the switching elements for the different current, switching frequency, and duty ratio values of a DC-DC boost converter circuit are analyzed parametrically with ANSYS-Twin Builder software and a total of 715 data are obtained. Based on these data obtained, the temperature rise that occurs during the operation of the power switches in different parameters can be predicted and can be predicted accurately and quickly with a mathematical expression in order to effectively provide the cooling system and thermal management of the power electronics circuit. The proposed expression has eight parameters that need to be optimized. In optimization of these parameters, the Artificial Bee Colony algorithm is used. The Mean Absolute Error is used as the performance indicator. The temperature rise values are calculated via the optimized expression with 0.7446 degrees C error. Thus, the accuracy of expression is about 95.17%.en_US
dc.identifier.doi10.1016/j.microrel.2021.114404
dc.identifier.issn0026-2714
dc.identifier.issn1872-941X
dc.identifier.scopus2-s2.0-85116782292en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.microrel.2021.114404
dc.identifier.urihttps://hdl.handle.net/20.500.12452/12359
dc.identifier.volume127en_US
dc.identifier.wosWOS:000710181000003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofMicroelectronics Reliabilityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Bee Colony Algorithmen_US
dc.subjectPower Electronics Circuitsen_US
dc.subjectPower Switching Deviceen_US
dc.subjectParametric Simulationen_US
dc.subjectThermal Estimationen_US
dc.titleThermal behavior estimation of the power switches with an empirical formulation optimized by Artificial Bee Colony algorithmen_US
dc.typeArticleen_US

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