Uncertainty Quantification of Electromagnetic Exposure Safety for Humans with Medical Implants in Electric Vehicle Wireless Charging Systems

Enning Guo; Renjie You; Le Gao

doi:10.62051/ijmee.v6n3.06

Authors

Enning Guo
Renjie You
Le Gao

DOI:

https://doi.org/10.62051/ijmee.v6n3.06

Keywords:

Electric Vehicle, Wireless Power Transfer, Gaussian Process Regression

Abstract

With the increasing adoption of electric vehicle (EV) wireless power transfer (WPT) technology, its electromagnetic environment and potential safety impacts on humans, particularly those with medical implants, have become a critical research concern. This study investigates the uncertainty in electromagnetic exposure safety within EV-WPT systems through systematic modeling and quantitative analysis. First, an EV-WPT system model including the vehicle, transmitting/receiving coils, and ferrite shielding layer was constructed, while a human body model with key organs (brain, heart, lungs, etc.) and a coronary stent was developed using COMSOL finite element simulations. Second, Gaussian Process Regression (GPR) was introduced to quantify uncertainties in the maximum induced electric field within the human body, considering variations in coil lateral offset, vertical offset, coil spacing, and human position. Results show that under these uncertainties, there is a 32.5% probability that the maximum induced electric field exceeds the ICNIRP 2010 safety limit (11.5 V/m), with significantly higher risks when the human body is located outside the vehicle. This research provides theoretical guidance for electromagnetic safety protection design in EV-WPT systems and offers important implications for ensuring charging safety in populations with medical implants.

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