Multicriterion Synthesis of an Electric Circuit for Wireless Power Transfer Systems

Bertoluzzo, Manuele; Barba, Paolo Di; Dughiero, Fabrizio; Mognaschi, Maria Evelina; Sieni, Elisabetta

doi:10.15199/48.2020.02.44

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…A 3D Finite-Element Model (FEM) of the transmitting-receiving coils is developed here and used to extract lumped parameters in terms of the mutual inductance vs. relative position curve [10][11][12]. To this end, the vehicle frame is modeled as a simple steel sheet, 800 mm width, 800 mm deep (actually, 400 mm in the model exploiting symmetry) and 0.7 mm thick.…”

Section: Analysis Problemmentioning

confidence: 99%

Wireless Power Transfer System in Dynamic Conditions: A Field-Circuit Analysis

et al. 2022

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In the paper, a Finite Element (FE) analysis for investigating the electric properties of a Wireless Power Transfer System (WPTS) devoted to charging the batteries of electric vehicles is performed. In particular, the dynamic-WPTS, which is challenging because of the position-varying properties of the system, is considered. The field analysis is computationally heavy because of thin conductive layers modelling the car chassis: an effective analytical approximation for the field calculation in thin layers is applied to both the car frame bottom and the shielding aluminum layer. This approach allows for an accurate solution and, meanwhile, for a reduction in the computational costs, making the repeated simulations feasible.

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Section: Analysis Problemmentioning

confidence: 99%

Wireless Power Transfer System in Dynamic Conditions: A Field-Circuit Analysis

et al. 2022

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“…Nowadays, dynamic WPTSs are an emerging method to charge a battery while a vehicle runs over suitable roads equipped with a set of transmitting coils under the ground [11,12]. In this case, depending on the car position, the Rx coil could be aligned, partially aligned, or misaligned with respect to the Tx one [13][14][15][16]. Then, it is important to investigate the variation in the mutual inductance considering different displacements from the fully aligned condition [13,17].…”

Section: Introductionmentioning

confidence: 99%

“…In the past, the authors of this paper have studied WPTSs from different viewpoints, but this has never been performed in the field of mutual inductance estimation in view of WPTS control. They have studied the optimal synthesis of compensation networks for WPTS [15,18] and models for fast and accurate simulations of the magnetic field in WPTS; moreover, they investigated aspects related to the electromagnetic compatibility of these systems [16]. In this paper, a deep learning technique, which belongs to the more recent fields of research in electromagnetism, is exploited for optimizing transferred power in WPTSs.…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning Approach to Improve the Control of Dynamic Wireless Power Transfer Systems

Bertoluzzo,

Di Barba,

Forzan

et al. 2023

Energies

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In this paper, an innovative approach for the fast estimation of the mutual inductance between transmitting and receiving coils for Dynamic Wireless Power Transfer Systems (DWPTSs) is implemented. To this end, a Convolutional Neural Network (CNN) is used; an image representing the geometry of two coils that are partially misaligned is the input of the CNN, while the output is the corresponding inductance value. Finite Element Analyses are used for the computation of the inductance values needed for CNN training. This way, thanks to a fast and accurate inductance estimated by the CNN, it is possible to properly manage the power converter devoted to charge the battery, avoiding the wind up of its controller when it attempts to transfer power in poor coupling conditions.

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“…In the paper, the authors use FEA, as already proposed in (Bertoluzzo et al, 2020), to evaluate circuit elements like self and mutual inductances that could be used in a suitable circuit model. The finite element (FE) model includes both the transmitting and receiving coil with their ferrite core and the aluminum shield with the steel layer representing the car frame as suggested by SAE standard (Campi et al, 2019a(Campi et al, , 2019b(Campi et al, , 2020Cruciani et al, 2020bCruciani et al, , 2020a; "SAE J 2954 Wireless Power Transfer for Light-Duty Plug-in/Electric Vehicles and Alignment Methodology", 2021;Campi et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Finite element models of dynamic-WPTS: a field-circuit approach

Bertoluzzo

Barba

Forzan

et al. 2022

COMPEL

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Purpose The paper aims to propose a a field-circuit method for investigating the magnetic behavior of a wireless power transfer system (WPTS) for the charge of batteries of electric vehicles. In particular, a 3D model for finite element analysis (FEA) for the field simulation of a WPTS is developed. Specifically, the effects of aluminum shield and steel layer, representing the car frame, on the self and mutual inductances are investigated. An equivalent electric circuit is then built, and the relevant lumped parameters are identified by means of the FEAs. Design/methodology/approach The finite element model is used to evaluate self and mutual inductances in several transmitting-receiving coil configurations and relative positions. In particular, the FEA simulates the aluminum and steel layers as shell elements in a 3D domain. The self and mutual inductance values in the aligned coil case are also used as input parameters in a circuit model to evaluate the onload current. Findings The use of shell elements in FEA substantially reduces the number of mesh elements needed to simulate the eddy currents in the steel and aluminum layer, so putting the ground for low-cost field analysis. Moreover, the FEA gives an accurate computation of the self and mutual inductance to be used in a circuit model, which, in turn, provides a fast update of the onload induced current. Originality/value To save computational time, the use of 2D shell elements to model thin conductive regions introduces a simplified FEA that could be used in the WPTS simulation. Moreover, the dynamic behavior of WPTS, i.e. the operation when the receiving coil is moving with respect to the transmitting one, is considered. Because of the lumped parameters’ dependence upon the relative positions of the two coils, the proposed method allows identifying the circuit parameters for several configurations so substantially reducing the computational burden.

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Multicriterion Synthesis of an Electric Circuit for Wireless Power Transfer Systems

Cited by 4 publications

References 17 publications

Wireless Power Transfer System in Dynamic Conditions: A Field-Circuit Analysis

Wireless Power Transfer System in Dynamic Conditions: A Field-Circuit Analysis

A Deep Learning Approach to Improve the Control of Dynamic Wireless Power Transfer Systems

Finite element models of dynamic-WPTS: a field-circuit approach

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