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Analysis of Dynamic Wireless Power Transfer Systems Based on Behavioral Modeling of Mutual Inductance

Author

Listed:
  • Giulia Di Capua

    (Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, FR, Italy)

  • Antonio Maffucci

    (Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, FR, Italy)

  • Kateryna Stoyka

    (Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, SA, Italy)

  • Gennaro Di Mambro

    (Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, FR, Italy)

  • Salvatore Ventre

    (Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, FR, Italy)

  • Vincenzo Cirimele

    (Department of Energy, Politecnico of Torino, 10129 Turin, TO, Italy)

  • Fabio Freschi

    (Department of Energy, Politecnico of Torino, 10129 Turin, TO, Italy)

  • Fabio Villone

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, NA, Italy)

  • Nicola Femia

    (Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, SA, Italy)

Abstract

This paper proposes a system-level approach suitable to analyze the performance of a dynamic Wireless Power Transfer System (WPTS) for electric vehicles, accounting for the uncertainty in the vehicle trajectory. The key-point of the approach is the use of an analytical behavioral model that relates mutual inductance between the coil pair to their relative positions along the actual vehicle trajectory. The behavioral model is derived from a limited training data set of simulations, by using a multi-objective genetic programming algorithm, and is validated against experimental data, taken from a real dynamic WPTS. This approach avoids the massive use of computationally expensive 3D finite element simulations, that would be required if this analysis were performed by means of look-up tables. This analytical model is here embedded into a system-level circuital model of the entire WPTS, thus allowing a fast and accurate analysis of the sensitivity of the performance as the actual vehicle trajectory deviates from the nominal one. The system-level analysis is eventually performed to assess the sensitivity of the power and efficiency of the WPTS to the vehicle misalignment from the nominal trajectory during the dynamic charging process.

Suggested Citation

  • Giulia Di Capua & Antonio Maffucci & Kateryna Stoyka & Gennaro Di Mambro & Salvatore Ventre & Vincenzo Cirimele & Fabio Freschi & Fabio Villone & Nicola Femia, 2021. "Analysis of Dynamic Wireless Power Transfer Systems Based on Behavioral Modeling of Mutual Inductance," Sustainability, MDPI, vol. 13(5), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2556-:d:506676
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    References listed on IDEAS

    as
    1. Stoyka, Kateryna & Di Mambro, Gennaro & Femia, Nicola & Maffucci, Antonio & Ventre, Salvatore & Villone, Fabio, 2021. "Behavioral modeling of Wireless Power Transfer System coils," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 208-220.
    2. Bi, Zicheng & Kan, Tianze & Mi, Chunting Chris & Zhang, Yiming & Zhao, Zhengming & Keoleian, Gregory A., 2016. "A review of wireless power transfer for electric vehicles: Prospects to enhance sustainable mobility," Applied Energy, Elsevier, vol. 179(C), pages 413-425.
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