Sliding Mode Observer-Based Robust Switch Fault Diagnosis of Bidirectional Interleaved Converters for Energy Storage System

Shengrong Zhuo, Yuqi Ma, Ruixin Zhang, Yigeng Huangfu, Fei Gao

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Reliable operation of the dc-dc power converter interfaced with the energy storage system is vital for many mission-critical applications, where a reliable fault diagnosis is essential. In this article, a robust switch open-circuit fault diagnosis method based on sliding mode observer is proposed and then applied to a bidirectional interleaved buck/boost converter for the energy storage system. It uses the sliding mode observer to generate the residual, which is then sent to the evaluation module to make the fault decisions. Thanks to the robustness of the sliding mode control algorithm, the generated residual decouples the uncertainties and disturbances with the switch faults. Therefore, it shows strong immunity to the circuit parameter uncertainties and load disturbances. Furthermore, as the diagnosis variables, namely, the inductor currents, are within the closed-loop control system, the extra sensors are not needed. The effectiveness and robustness of the proposed fault diagnosis method have been demonstrated by both the simulation and experimental results.

Original languageEnglish
Pages (from-to)9853-9863
Number of pages11
JournalIEEE Transactions on Power Electronics
Volume40
Issue number7
DOIs
StatePublished - 2025

Keywords

  • Bidirectional interleaved converter
  • dc-dc power converter
  • fault diagnosis
  • sliding mode observer
  • switch open-circuit fault (OCF)

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