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Comparison of Increasing Efficiency in DAB Converters using EPS, DPS and TPS with Evolutionary Algorithms

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dc.contributor.authorEsturk, Akiner
dc.contributor.authorAkboy, Erdem
dc.date.accessioned2026-06-27T15:04:32Z
dc.date.issued2023
dc.description.abstractDual Active Bridge (DAB) converters are widely used in energy storage systems and electrical vehicle applications due to providing isolation and bidirectional power flow. However, recycling energy causes additional losses and minimum efficiency. So, there are phase shift control techniques to minimize recycling energy and increase efficiency. In this paper, nature-inspired evolutionary algorithms which are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to determine the optimum phase shift ratios in search space.en
dc.identifier.isbn978-9-0758-1541-2
dc.identifier.issn2325-0313
dc.identifier.urihttps://hdl.handle.net/20.500.14981/67596
dc.identifier.wos001098971402043
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference25th European Conference on Power Electronics and Applications (EPE ECCE Europe)
dc.relation.ispartof2023 25TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS, EPE'23 ECCE EUROPE
dc.subjectDual Active Bridge Converter
dc.subjectMulti Objective Optimization
dc.subjectOptimization Algorithm
dc.subjectGenetic Algorithm
dc.subjectEnergy & Fuels
dc.subjectEngineering
dc.titleComparison of Increasing Efficiency in DAB Converters using EPS, DPS and TPS with Evolutionary Algorithms
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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