Front-End Parameter Monitoring Method Based on Two-Layer Adaptive Differential Evolution for SS-Compensated Wireless Power Transfer Systems

Yun Yang, Siew Chong Tan, Shu Yuen Ron Hui

    Research output: Journal article publicationJournal articleAcademic researchpeer-review

    61 Citations (Scopus)

    Abstract

    In this paper, a two-layer adaptive differential evolution (ADE) algorithm is adopted to monitor the parameters of the receiving resonators and the mutual inductances of series-series (SS)-compensated wireless power transfer (WPT) systems. By only measuring the primary coils' voltages and currents, the proposed monitoring method can be applied for multiple-coil SS-compensated WPT systems without any feedback signals from the receivers. Compared to the conventional monitoring method based on the genetic algorithm (GA), which may find local optimal solutions by the manually tuned parameters of the mutation rate, the crossover rate, and the generations, the proposed method based on the two-layer ADE can always find global optimal solutions by the automatically tuned parameters of the differential weight, the crossover rate, and the generations. Experimental results validate that the ADE and the proposed two-layer ADE can monitor the parameters of both two-and three-coil SS-compensated WPT systems more steadily and accurately than the conventional GA. Additionally, the proposed two-layer ADE is verified to monitor the parameters of three-coil SS-compensated WPT systems with three different arrangements more accurately than the ADE.

    Original languageEnglish
    Article number8746197
    Pages (from-to)6101-6113
    Number of pages13
    JournalIEEE Transactions on Industrial Informatics
    Volume15
    Issue number11
    DOIs
    Publication statusPublished - Nov 2019

    Keywords

    • Adaptive differential evolution (ADE)
    • genetic algorithm (GA)
    • parameter monitoring
    • series-series (SS)-compensated wireless power transfer (WPT) system
    • two-layer ADE

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Information Systems
    • Computer Science Applications
    • Electrical and Electronic Engineering

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