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Abstract
An enhanced generalized average modeling (GAM) method for a dual active bridge (DAB) converter is presented in this paper. Firstly, the conventional lossless model is introduced and it is shown that this model might cause a non-neglectable steady state error. In order to improve the modeling accuracy, a wide range of loss sources are involved in the proposed enhanced GAM model, such as conduction losses and core losses. On this basis, this paper further proves that the 3 rd-order harmonic component of the leakage inductance current should be considered to reduce steady state errors in light load conditions, while others might only consider the 1 st-order harmonic in the existing DAB models. Also, a universal form of the modeling equation to include up to any h th-order harmonic component is derived. Finally, comparative simulation and experimental results are presented to validate the feasibility of the analysis.
Original language | English |
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Title of host publication | Proceedings of 35th Annual IEEE Applied Power Electronics Conference & Exposition (APEC 2020) |
Number of pages | 6 |
Publisher | IEEE Press |
Publication date | Jun 2020 |
Pages | 85-90 |
Article number | 9124001 |
ISBN (Electronic) | 978-1-7281-4829-8 |
DOIs | |
Publication status | Published - Jun 2020 |
Event | 2020 IEEE Applied Power Electronics Conference and Exposition (APEC) - New Orleans, LA, United States Duration: 15 Mar 2020 → 19 Mar 2020 |
Conference
Conference | 2020 IEEE Applied Power Electronics Conference and Exposition (APEC) |
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Country/Territory | United States |
City | New Orleans, LA |
Period | 15/03/2020 → 19/03/2020 |
Series | I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings |
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ISSN | 1048-2334 |
Keywords
- dual active bridge
- generalized average modeling
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01/08/2017 → 01/12/2023
Project: Research
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Liu, B., Davari, P. & Blaabjerg, F.
01/12/2017 → 01/12/2020
Project: PhD Project
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Multi-Physics of High Power Density Power Electronic Systems
DFF-Individuelle postdocstipendier : DFF-1333-00034
01/03/2016 → 31/05/2018
Project: Research