Farias Martins, L., Stone, D. orcid.org/0000-0002-5770-3917 and Foster, M. orcid.org/0000-0002-8565-0541 (2020) Modelling of phase-shift modulated bidirectional CLLC resonant converter. IET Power Electronics, 13 (12). pp. 2628-2637. ISSN 1755-4535
Abstract
The study proposes the application of two modelling techniques for analysis of bidirectional CLLC resonant converters. The state-variable and cyclic-averaging techniques are applied for converters operating under two types of phase-shift modulation: single-phase-shift and pulse-phase modulation. The converter is analysed considering forward and reverse power flow directions and a state-variable equation description is obtained for both modes. The models are first validated through simulation, comparing the state-variable and cyclic-averaging results to a simulation program with integrated circuit emphasis (SPICE)-based simulation. Additionally, a low power prototype is built, experimental results are presented and the influence of parasitic elements and system delays is discussed. Simulation and experimental results show the models can accurately represent the behaviour of CLLC converters for both types of phase-shift modulation. In addition, using the cyclic-averaging technique results in a considerably faster execution compared to state-variable and SPICE-based models.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Institution of Engineering and Technology. This is an author-produced version of a paper subsequently published in IET Power Electronics. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Oct 2020 08:06 |
Last Modified: | 02 Oct 2020 10:42 |
Status: | Published |
Publisher: | Institution of Engineering and Technology (IET) |
Refereed: | Yes |
Identification Number: | 10.1049/iet-pel.2018.5672 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166209 |