Journal
SUSTAINABILITY
Volume 13, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/su13052556
Keywords
behavioral modeling; inductive coupling; mutual inductance; wireless power transfer
Funding
- EMPIR program, grant MICEV [16ENG08]
- University of Cassino and Southern Lazio
- University of Naples Federico II, through the program Dipartimenti di Eccellenza 2018-2022
- MIUR, Italian Ministry of University and Research
- University of Salerno, through the project Sistemi di Carica Induttiva di Veicoli Elettrici [300638FRB18DICAPUA]
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This paper presents a system-level approach for analyzing the performance of a dynamic Wireless Power Transfer System for electric vehicles, utilizing an analytical behavioral model which is validated against experimental data. The approach avoids the extensive use of computationally expensive 3D finite element simulations, providing a fast and accurate analysis of performance sensitivity. The system-level analysis assesses the sensitivity of power and efficiency of the WPTS to vehicle misalignment from the nominal trajectory during the dynamic charging process.
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.
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