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Novel Control Approach for Resonant Class-DE Inverters Applied in Wireless Power Transfer Systems

Author

Listed:
  • Juan Pablo Ochoa Avilés

    (Institute of System Engineering and Information Technology, Federal University of Itajubá, Itajubá 37500-903, Brazil)

  • Fernando Lessa Tofoli

    (Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei 36307-352, Brazil)

  • Enio Roberto Ribeiro

    (Institute of System Engineering and Information Technology, Federal University of Itajubá, Itajubá 37500-903, Brazil)

Abstract

Regulating the load voltage is of major importance for ensuring high transmission efficiency in wireless power transfer (WPT) systems. In this context, this work presents a novel control strategy applied in the dc-ac converter used in the primary side of a WPT system. The performance of a class-DE resonant inverter is investigated considering that such topology presents inherent soft-switching characteristics, thus implying reduced switching losses. The controller relies on an autoregressive with exogenous output (ARX) model based on an adaptive linear neuron (ADALINE) network, which allows for determining the turn-on time of the active switches accurately while providing the system with the ability to adapt to distinct alignment conditions. The performance of the proposed controller is compared with that of a linear controller, which does not prove to be an effective solution if misalignment occurs.

Suggested Citation

  • Juan Pablo Ochoa Avilés & Fernando Lessa Tofoli & Enio Roberto Ribeiro, 2023. "Novel Control Approach for Resonant Class-DE Inverters Applied in Wireless Power Transfer Systems," Energies, MDPI, vol. 16(21), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7238-:d:1266526
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    References listed on IDEAS

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    1. Surender Reddy Salkuti, 2023. "Advanced Technologies for Energy Storage and Electric Vehicles," Energies, MDPI, vol. 16(5), pages 1-7, February.
    2. Kai Song & Yu Lan & Xian Zhang & Jinhai Jiang & Chuanyu Sun & Guang Yang & Fengshuo Yang & Hao Lan, 2023. "A Review on Interoperability of Wireless Charging Systems for Electric Vehicles," Energies, MDPI, vol. 16(4), pages 1-22, February.
    3. Zheng, Yanchong & Wang, Yubin & Yang, Qiang, 2023. "Two-phase operation for coordinated charging of electric vehicles in a market environment: From electric vehicle aggregators’ perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. Benitto Albert Rayan & Umashankar Subramaniam & S. Balamurugan, 2023. "Wireless Power Transfer in Electric Vehicles: A Review on Compensation Topologies, Coil Structures, and Safety Aspects," Energies, MDPI, vol. 16(7), pages 1-46, March.
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