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Cited 1 time in webofscience Cited 2 time in scopus
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Improved Duty Compensation Control-Based Bidirectional Resonant DC-DC Converter with Reduced Input-Current Ripple for Battery Energy Storage Systemsopen access

Authors
Basit, Bilal AbdulKim, MinsungJung, Jin-Woo
Issue Date
Nov-2023
Publisher
IEEE
Keywords
Battery energy storage systems (BESSs); bidirectional neutral-point-clamped (NPC)-type resonant dc–dc converter; improved duty compensation control; Informatics; input-current ripple minimization; Pulse width modulation; RLC circuits; Switches; Topology; Transformers; Windings
Citation
IEEE Transactions on Industrial Informatics, v.19, no.11, pp 11192 - 11204
Pages
13
Indexed
SCIE
SCOPUS
Journal Title
IEEE Transactions on Industrial Informatics
Volume
19
Number
11
Start Page
11192
End Page
11204
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/22732
DOI
10.1109/TII.2023.3244349
ISSN
1551-3203
1941-0050
Abstract
This paper proposes an improved duty control-based resonant bidirectional dc–dc converter (BDC) to remarkably minimize input-current ripple for battery energy storage systems. The proposed converter offers a resonant-boost operation using a pulse-width-modulation (PWM) full-bridge circuit with a push-pull transformer under the forward-mode. Whereas, in the backward-mode, a resonant-buck operation is implemented with a PWM neutral-point-clamped (NPC)-type circuit. Unlike conventional current-fed BDCs, the most appealing characteristic of the proposed converter is the NPC-type structure with a push-pull transformer, which can significantly mitigate the input-current ripple without using extra input-inductors. Moreover, the proposed BDC minimizes the conduction-loss of the low-voltage side bottom switches by alleviating unbalanced DC offset-currents via proposed duty-compensation control under mismatched magnetizing inductances of the transformer's primary-windings. The designed circuit operation is analyzed in detail and its practicability has been fully confirmed with the proportional-integral and spider-monkey-optimization control techniques-based experimental verifications using a prototype 1-kW test-bed. IEEE
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