Improvement of Low-Frequency Radiated Emission in Electric Vehicle by Numerical Analysis
Joint Authors
Gao, Feng
Ye, Chengkai
Wang, Zilong
Li, Xu
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
In this paper, a methodology for improving vehicle-level radiated electromagnetic interference (EMI) in electric vehicle (EV) is proposed.
This methodology predicts vehicle-level radiated EMI by using the multiport network theory, based on analyzing the contribution from each electronic component to find out the main EMI source.
To validate its effectiveness, the proposed methodology is applied in an actual EV for low-frequency radiated emissions.
Simulation in a commercially available electromagnetics software and measurement in the EV are combined to predict the vehicle-level emissions, and then the electronic component with the greatest EMI that causes failure to meet the EMC standard is identified.
After improving this component, the vehicle-level radiated emission is reduced to comply with the EMC standard, proving that the presented numerical method is effective.
The proposed methodology can also be used in other EMC issues, regardless of the amount of interference sources and sensitive equipment.
American Psychological Association (APA)
Gao, Feng& Ye, Chengkai& Wang, Zilong& Li, Xu. 2018. Improvement of Low-Frequency Radiated Emission in Electric Vehicle by Numerical Analysis. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1183044
Modern Language Association (MLA)
Gao, Feng…[et al.]. Improvement of Low-Frequency Radiated Emission in Electric Vehicle by Numerical Analysis. Journal of Control Science and Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1183044
American Medical Association (AMA)
Gao, Feng& Ye, Chengkai& Wang, Zilong& Li, Xu. Improvement of Low-Frequency Radiated Emission in Electric Vehicle by Numerical Analysis. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1183044
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183044