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In low-voltage input constant-power wireless power transfer (WPT) systems, impedance matching between the uncontrolled rectifier circuit and BUCK circuit at the receiver end enables both efficiency optimization in the coupling mechanism and stable charging voltage. However, the transmitter power supply typically employs a two-phase interleaved parallel BOOST and high-frequency phase-shifted inverter combination to reduce coil current, making efficiency improvement crucial. To enhance transmitter efficiency, a state-space averaging method establishes a parasitic parameter-considered model, analyzing the relationship between transmitter efficiency and phase shift angle/duty cycle. Theoretical analysis confirms the existence of an optimal efficiency solution. Subsequently, a multi-variable disturbance observation control-based energy efficiency optimization algorithm is designed to achieve decoupling between primary and secondary side controls. Finally, an experimental platform for low-voltage WPT systems was constructed, demonstrating 92.47% overall system efficiency with 2.4% improvement before and after algorithm implementation, validating the algorithm’s feasibility.

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A Power Efficiency Optimization Algorithm Based on Multivariate Disturbance And Observation Control in Low Voltage Input WPT System

  • 会议论文

  • 发表日期：

    2026年

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  • Xin Gao,
  • Haotian Zhang,
  • Baichuan Zhang,
  • Wenjing Wang,
  • Shaoshuan Qi,
  • Kui Yan,
  • Jiantao Zhang,
  • Chunbo Zhu

摘要

In low-voltage input constant-power wireless power transfer (WPT) systems, impedance matching between the uncontrolled rectifier circuit and BUCK circuit at the receiver end enables both efficiency optimization in the coupling mechanism and stable charging voltage. However, the transmitter power supply typically employs a two-phase interleaved parallel BOOST and high-frequency phase-shifted inverter combination to reduce coil current, making efficiency improvement crucial. To enhance transmitter efficiency, a state-space averaging method establishes a parasitic parameter-considered model, analyzing the relationship between transmitter efficiency and phase shift angle/duty cycle. Theoretical analysis confirms the existence of an optimal efficiency solution. Subsequently, a multi-variable disturbance observation control-based energy efficiency optimization algorithm is designed to achieve decoupling between primary and secondary side controls. Finally, an experimental platform for low-voltage WPT systems was constructed, demonstrating 92.47% overall system efficiency with 2.4% improvement before and after algorithm implementation, validating the algorithm’s feasibility.