Switching Network Loss Minimization Through Multivariable Modulation in a Multiactive Bridge Converter

Saikat Dey, Ayan Mallik

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


This article presents a unified and generalized modeling, circuit analysis, and power flow optimization techniques for an n-port multiactive bridge (MAB) dc-dc converter comprised of n active full bridges and a multiwinding transformer. The article aims at improving the efficiency of the MAB converter for a wide load and port voltage gain range by proposing an optimal phase-duty control variable-based modulation strategy. The loss optimization technique constitutes of two stages: first, both the switching and conduction loss objective functions are equivalently formulated by relating them to the transformer winding current peaks and rmss that are synthesized by employing the proposed generalized harmonic approximation based computational model; second, a multivariable multiconstrained optimization technique is adopted in order to minimize the converter power loss for wide load-gain range. Moreover, the universal zero-voltage switching criteria for any MAB port is also derived by proposing a port-equivalent converter model. A 600 W quadruple active bridge converter proof-of-concept is designed and tested to validate the theoretical analysis, claims, thus verifying the applicability of the generic MAB loss optimization technique for any converter candidate under the MAB family. With the implementation of proposed optimal phase-duty control, the experimental results show efficiency increment up to 17% at nonunity voltage gain and 10% loading condition, when compared to the conventional phase modulation technique.

Original languageEnglish (US)
Pages (from-to)10833-10847
Number of pages15
JournalIEEE Transactions on Industrial Electronics
Issue number11
StatePublished - Nov 1 2023


  • Loss optimization
  • multiactive bridge (MAB)
  • zero-voltage switching (ZVS)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering


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