Abstract

This article shows the effectiveness of combining non-intrusive stochastic techniques with 3-D modeling tools to build adequate surrogate models for the evaluation of human exposure close to a vehicle equipped with a wireless charging pad. A surrogate model is appropriate to deal with uncertainties and variabilities of parameters defining the electromagnetic problem. Numerical results obtained in the case of a light passenger vehicle illustrate the proposed methodology.

Highlights

  • I NDUCTIVE power transfer (IPT) is a key factor in the growth of electric mobility [1]

  • It is needed to evaluate the level of exposure in order to be compliant with the relevant standards and guidelines for human exposure when designing a new IPT system

  • The use of powerful 3-D models involving the wireless power transfer (WPT) system and the car-body produced reliable results at heavy computational cost for the radiated field around the system or induced in the human body [2], [3] and more recently on the magnetic field produced by Society of Automotive Engineers (SAE) J2954 coils [4]–[6]

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Summary

INTRODUCTION

I NDUCTIVE power transfer (IPT) is a key factor in the growth of electric mobility [1]. The large gap between transmitter and receiver implies a high level of stray field in the vicinity of the coils that, despite the presence of ferrite concentrators and aluminum shield, may represent a problem in terms of exposure to magnetic fields for passengers or bystanders during the charging operations It is, needed to evaluate the level of exposure in order to be compliant with the relevant standards and guidelines for human exposure when designing a new IPT system. It can be used to perform various analyses, such as the Sobol index sensitivity analysis [7] at a low computation cost This allows dealing with the variability of all the parameters describing the electromagnetic problem. The GeePs used the various results to develop accurate metamodels using the UQLab framework [12] to perform decent sensitivity analysis using Sobol indices

Charging Station Model
NUMERICAL RESULTS AND DISCUSSION
Polynomial-Chaos-Kriging Metamodeling
First Sweep
Second Sweep
CONCLUSION
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