{"title":"电动汽车车载充电系统中传导电磁干扰的建模与预测","authors":"Kai Zhou, Zhipeng Xu, Zheng Li","doi":"10.1007/s00202-024-02701-4","DOIUrl":null,"url":null,"abstract":"<p>This paper focuses on the investigation of conducted electromagnetic interference (EMI) in a two-level onboard charging system for electric vehicles. It analyzes the mechanisms and coupling paths of conducted EMI in the system, identifying that EMI primarily originates from the switching actions of power components and propagates through transformers, passive components, and parasitic parameters of the circuit. Different models for various components are established using analytical methods, finite element numerical analysis methods, and measurement methods. Relevant parasitic parameters are extracted to construct a comprehensive system-level simulation and prediction model for conducted EMI. The accuracy of the simulation and prediction model is validated through EMI testing. To further predict the sources of conducted EMI in the system, an EMI node prediction method is proposed based on the simulation model. This method involves analyzing the frequency-domain simulation waveforms of EMI nodes within the charging system, identifying prominent nodes with significant EMI, and implementing relevant suppression measures for the components surrounding those nodes that contribute to EMI. The effectiveness of the proposed EMI node prediction method is verified through EMI suppression experiments.</p>","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and prediction of conducted EMI in on-board charging system of electric vehicle\",\"authors\":\"Kai Zhou, Zhipeng Xu, Zheng Li\",\"doi\":\"10.1007/s00202-024-02701-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper focuses on the investigation of conducted electromagnetic interference (EMI) in a two-level onboard charging system for electric vehicles. It analyzes the mechanisms and coupling paths of conducted EMI in the system, identifying that EMI primarily originates from the switching actions of power components and propagates through transformers, passive components, and parasitic parameters of the circuit. Different models for various components are established using analytical methods, finite element numerical analysis methods, and measurement methods. Relevant parasitic parameters are extracted to construct a comprehensive system-level simulation and prediction model for conducted EMI. The accuracy of the simulation and prediction model is validated through EMI testing. To further predict the sources of conducted EMI in the system, an EMI node prediction method is proposed based on the simulation model. This method involves analyzing the frequency-domain simulation waveforms of EMI nodes within the charging system, identifying prominent nodes with significant EMI, and implementing relevant suppression measures for the components surrounding those nodes that contribute to EMI. The effectiveness of the proposed EMI node prediction method is verified through EMI suppression experiments.</p>\",\"PeriodicalId\":50546,\"journal\":{\"name\":\"Electrical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electrical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s00202-024-02701-4\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s00202-024-02701-4","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Modeling and prediction of conducted EMI in on-board charging system of electric vehicle
This paper focuses on the investigation of conducted electromagnetic interference (EMI) in a two-level onboard charging system for electric vehicles. It analyzes the mechanisms and coupling paths of conducted EMI in the system, identifying that EMI primarily originates from the switching actions of power components and propagates through transformers, passive components, and parasitic parameters of the circuit. Different models for various components are established using analytical methods, finite element numerical analysis methods, and measurement methods. Relevant parasitic parameters are extracted to construct a comprehensive system-level simulation and prediction model for conducted EMI. The accuracy of the simulation and prediction model is validated through EMI testing. To further predict the sources of conducted EMI in the system, an EMI node prediction method is proposed based on the simulation model. This method involves analyzing the frequency-domain simulation waveforms of EMI nodes within the charging system, identifying prominent nodes with significant EMI, and implementing relevant suppression measures for the components surrounding those nodes that contribute to EMI. The effectiveness of the proposed EMI node prediction method is verified through EMI suppression experiments.
期刊介绍:
The journal “Electrical Engineering” following the long tradition of Archiv für Elektrotechnik publishes original papers of archival value in electrical engineering with a strong focus on electric power systems, smart grid approaches to power transmission and distribution, power system planning, operation and control, electricity markets, renewable power generation, microgrids, power electronics, electrical machines and drives, electric vehicles, railway electrification systems and electric transportation infrastructures, energy storage in electric power systems and vehicles, high voltage engineering, electromagnetic transients in power networks, lightning protection, electrical safety, electrical insulation systems, apparatus, devices, and components. Manuscripts describing theoretical, computer application and experimental research results are welcomed.
Electrical Engineering - Archiv für Elektrotechnik is published in agreement with Verband der Elektrotechnik Elektronik Informationstechnik eV (VDE).