Uncertainty assessment of electromagnetic exposure safety for human body with intracranial artery stent around EV-WPT based on K-GRU surrogate model

IF 6.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Jiaxin Liu , Kaifeng Zhao , Quanyi Yu , Hongwei Zhou , Tianhao Wang , Yaodan Chi
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Abstract

As electric vehicles (EVs) continue to gain popularity and wireless power transfer (WPT) advances, protecting human health from electromagnetic exposure during EV-WPT operation has become a critical research priority. Given the rising number of patients with metallic medical devices implanted, this article presents a human model of an adult male with an intracranial arterial stent exposed to electromagnetic field leakage from WPT. Considering uncertainties in WPT manufacturing errors and human positioning relative to WPT, this article employs a modified Gate Recurrent Unit (GRU) architecture based on the Kolmogorov–Arnold Network (K-GRU) to quantify these uncertainties in electromagnetic safety assessment. Compared to the Monte Carlo (MC) method, the K-GRU proxy modeling approach reduces assessment time to just 5% of that required by MC. The findings indicate intracranial artery stent implantation significantly influences the distribution of the induced electric field within the human body. Specifically, there is a 96% probability that the induced electric field exceeds the limits set by the International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines at the EV’s outer side, and a 71.5% probability at the rear. These findings suggest that for patients with intracranial arterial stents, maintaining appropriate safety distances and implementing power restrictions in EV-WPT systems may be necessary to ensure compliance with electromagnetic exposure limits.
基于 K-GRU 代理模型的 EV-WPT 周围颅内动脉支架人体电磁暴露安全性的不确定性评估
随着电动汽车(ev)的不断普及和无线电力传输(WPT)技术的进步,在EV-WPT运行过程中保护人类健康免受电磁暴露已成为一个关键的研究重点。鉴于植入金属医疗器械的患者数量不断增加,本文提出了一个成年男性颅内动脉支架暴露于WPT电磁场泄漏的人体模型。考虑到WPT制造误差和相对于WPT的人类定位的不确定性,本文采用基于Kolmogorov-Arnold网络(K-GRU)的改进门循环单元(GRU)架构来量化电磁安全评估中的这些不确定性。与Monte Carlo (MC)方法相比,K-GRU代理建模方法将评估时间缩短至MC所需时间的5%。研究结果表明,颅内动脉支架植入显著影响人体内感应电场的分布。具体来说,电动汽车外侧的感应电场超过国际非电离辐射防护委员会(ICNIRP)指南规定的限值的概率为96%,后部的概率为71.5%。这些发现表明,对于颅内动脉支架患者,保持适当的安全距离并在EV-WPT系统中实施功率限制可能是必要的,以确保符合电磁暴露限值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
alexandria engineering journal
alexandria engineering journal Engineering-General Engineering
CiteScore
11.20
自引率
4.40%
发文量
1015
审稿时长
43 days
期刊介绍: Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification: • Mechanical, Production, Marine and Textile Engineering • Electrical Engineering, Computer Science and Nuclear Engineering • Civil and Architecture Engineering • Chemical Engineering and Applied Sciences • Environmental Engineering
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