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The dynamic behavior of wireless power transfer (WPT) systems operating with battery loads is predominantly governed by their underdamped nature. This characteristic manifest as severe transient over-current conditions and continuous oscillatory responses upon the introduction of disturbances. This research presents a computationally efficient, second-order model derived via the balanced truncation approach to address these analytical challenges. The model's primary strength is its ability to deliver instantaneous calculations of the current envelopes for both the primary and secondary sides, enabling an exhaustive examination of system dynamics. Experimental tests substantiate the model's practical utility, which is exemplified in a case study focusing on the optimization of pulse-skipping modulation schemes. Beyond this specific application, the model establishes a versatile platform for advanced dynamic profiling and serves as a cornerstone for devising model-informed control methodologies.

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A Reduced-Order Model with Applications for Wireless Power Transfer Systems with Battery Loads

  • 会议论文

  • 发表日期：

    2026年

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  • Jiayu Zhou,
  • Jiayang Wu,
  • C. Q. Jiang,
  • Siew Chong Tan,
  • S. Y. Ron Hui

摘要

The dynamic behavior of wireless power transfer (WPT) systems operating with battery loads is predominantly governed by their underdamped nature. This characteristic manifest as severe transient over-current conditions and continuous oscillatory responses upon the introduction of disturbances. This research presents a computationally efficient, second-order model derived via the balanced truncation approach to address these analytical challenges. The model's primary strength is its ability to deliver instantaneous calculations of the current envelopes for both the primary and secondary sides, enabling an exhaustive examination of system dynamics. Experimental tests substantiate the model's practical utility, which is exemplified in a case study focusing on the optimization of pulse-skipping modulation schemes. Beyond this specific application, the model establishes a versatile platform for advanced dynamic profiling and serves as a cornerstone for devising model-informed control methodologies.