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Article

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

1
Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, FR, Italy
2
Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, SA, Italy
3
Department of Energy, Politecnico of Torino, 10129 Turin, TO, Italy
4
Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, NA, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Mouloud Denai
Sustainability 2021, 13(5), 2556; https://doi.org/10.3390/su13052556
Received: 16 January 2021 / Revised: 16 February 2021 / Accepted: 19 February 2021 / Published: 26 February 2021
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. View Full-Text
Keywords: behavioral modeling; inductive coupling; mutual inductance; wireless power transfer behavioral modeling; inductive coupling; mutual inductance; wireless power transfer
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MDPI and ACS Style

Di Capua, G.; Maffucci, A.; Stoyka, K.; Di Mambro, G.; Ventre, S.; Cirimele, V.; Freschi, F.; Villone, F.; Femia, N. Analysis of Dynamic Wireless Power Transfer Systems Based on Behavioral Modeling of Mutual Inductance. Sustainability 2021, 13, 2556. https://doi.org/10.3390/su13052556

AMA Style

Di Capua G, Maffucci A, Stoyka K, Di Mambro G, Ventre S, Cirimele V, Freschi F, Villone F, Femia N. Analysis of Dynamic Wireless Power Transfer Systems Based on Behavioral Modeling of Mutual Inductance. Sustainability. 2021; 13(5):2556. https://doi.org/10.3390/su13052556

Chicago/Turabian Style

Di Capua, Giulia, Antonio Maffucci, Kateryna Stoyka, Gennaro Di Mambro, Salvatore Ventre, Vincenzo Cirimele, Fabio Freschi, Fabio Villone, and Nicola Femia. 2021. "Analysis of Dynamic Wireless Power Transfer Systems Based on Behavioral Modeling of Mutual Inductance" Sustainability 13, no. 5: 2556. https://doi.org/10.3390/su13052556

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