4.8 Article

Maximum-Power-Per-Ampere Variable Frequency Modulation for Dual Active Bridge Converters in Battery-Balancing Application

Journal

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 69, Issue 6, Pages 5900-5910

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2021.3090709

Keywords

Switches; Zero voltage switching; Batteries; Topology; Switching frequency; Frequency modulation; Inductors; Battery balancing; conduction loss; dual-active bridge; variable frequency modulation

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This article proposes a conduction-loss-based variable frequency modulation method to increase the system efficiency of dual-active bridge topologies. By varying the operating frequency, the conduction losses can be reduced, and the proposed control strategy performs better under low-load conditions.
Varying the operating frequency helps dual-active bridge topologies increase the system efficiency since the soft-switching is regained at low-load condition. This article proposes a conduction-loss-based variable frequency modulation (VFM) that decouples the phase-shift from the frequency control that conventional VFM applies. The power losses for the shared-bus battery-balancing topology are elaborated as switching frequency varies. The results show that increasing the operating frequency within the reasonable boundaries can benefit not only the switching loss but also the conduction losses. The switching loss is nearly constant, whereas the conduction losses decrease significantly. A factor of output power and transformer current, namely power-per-ampere, is derived as a function of operating conditions and phase-shift independent of switching frequency. The operating setpoints are selected to minimize the factor using both online and offline optimizations. The proposed control strategy outperforms constant frequency modulation by up to 30% below 30% rated power. Furthermore, compared with conventional VFM, the proposed method improves the efficiency of the system under test by 1.5% below 50% normalized power, with significantly less computational resources needed.

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