Bio-Electromagnetic Safety Assessment of Wireless Charging Environment for Electric Vehicles
Abstract
Bio-Electromagnetic Safety Assessment of Wireless Charging Environment for Electric Vehicles Zheng H, Zhao X. Bio-Electromagnetic Safety Assessment of Wireless Charging Environment for Electric Vehicles. Progress In Electromagnetics Research Letters, Vol. 122, 87-92, 2024. doi:10.2528/PIERL24081306. Abstract Wireless power charging technology has been developed rapidly and is extensively utilized for electric vehicle wireless charging due to its numerous over plug-in charging. The electromagnetic bio-safety of the human body in charging environment has become a significant public concern. To address this issue, this paper employs the finite element analysis method to assess the electromagnetic safety of crucial organs in a typical charging environment. Firstly, human-vehicle models in various typical postures were constructed in COMSOL, and the spatial distribution of electromagnetic fields in the critical organs was calculated in a 7.7 kW, 85 kHz charging environment. Subsequently, the electromagnetic radiation dose of each organ was calculated and compared with the ICNIRP standards. The results indicated that the electromagnetic radiation dose received by different organs is influenced by both the electromagnetic parameters and position of the organs. When the human body is positioned flat in the car, the electromagnetic radiation exposure to various organs is at its highest. Additionally, the maximum radiation dose for each organ is significantly below ICNIRP standard in a low-power wireless charging environment, supporting the commercial adoption of wireless charging technology for electric vehicles. Open access paper: jpier.org
AI evidence extraction
Main findings
Finite element simulations of human-vehicle models in various postures in a 7.7 kW, 85 kHz wireless charging environment found organ exposure varied with electromagnetic parameters and organ position. The highest modeled exposure occurred when the body was positioned flat in the car, and maximum organ doses were reported as significantly below ICNIRP limits in this low-power wireless charging environment.
Outcomes measured
- Electromagnetic field spatial distribution in critical organs (modeled)
- Organ-specific electromagnetic radiation dose (modeled)
- Comparison of organ dose to ICNIRP standards
Limitations
- Modeling/simulation study (finite element analysis) rather than measurements in humans
- Exposure duration not stated in abstract
- Specific dosimetric quantity/metric for 'radiation dose' not specified in abstract
- Details of human model(s), organ set, and parameter ranges not provided in abstract
Suggested hubs
-
who-icnirp
(0.9) Organ dose estimates are explicitly compared with ICNIRP standards.
-
engineering
(0.75) Finite element modeling (COMSOL) of EMF exposure in a wireless EV charging environment.
View raw extracted JSON
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"study_type": "engineering",
"exposure": {
"band": "ELF",
"source": "wireless charging (electric vehicles)",
"frequency_mhz": 0.08500000000000000610622663543836097232997417449951171875,
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"outcomes": [
"Electromagnetic field spatial distribution in critical organs (modeled)",
"Organ-specific electromagnetic radiation dose (modeled)",
"Comparison of organ dose to ICNIRP standards"
],
"main_findings": "Finite element simulations of human-vehicle models in various postures in a 7.7 kW, 85 kHz wireless charging environment found organ exposure varied with electromagnetic parameters and organ position. The highest modeled exposure occurred when the body was positioned flat in the car, and maximum organ doses were reported as significantly below ICNIRP limits in this low-power wireless charging environment.",
"effect_direction": "no_effect",
"limitations": [
"Modeling/simulation study (finite element analysis) rather than measurements in humans",
"Exposure duration not stated in abstract",
"Specific dosimetric quantity/metric for 'radiation dose' not specified in abstract",
"Details of human model(s), organ set, and parameter ranges not provided in abstract"
],
"evidence_strength": "low",
"confidence": 0.7399999999999999911182158029987476766109466552734375,
"peer_reviewed_likely": "unknown",
"keywords": [
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"organ exposure",
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"ICNIRP"
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AI can be wrong. Always verify against the paper.
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