Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems
Accurate prediction and efficient suppression of conducted electromagnetic interference(EMI) in electric drive systems(EDS) are achieved through an innovative technique proposed in this paper, leveraging a key path impedance characteristic model. The influence of critical components—namely; three-ph...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/4/201 |
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| author | Ruoxi Tan Shangbin Ye Qianlei Peng Changhong Du Zeyan Zhou |
| author_facet | Ruoxi Tan Shangbin Ye Qianlei Peng Changhong Du Zeyan Zhou |
| author_sort | Ruoxi Tan |
| collection | DOAJ |
| description | Accurate prediction and efficient suppression of conducted electromagnetic interference(EMI) in electric drive systems(EDS) are achieved through an innovative technique proposed in this paper, leveraging a key path impedance characteristic model. The influence of critical components—namely; three-phase alternating current modules; motors; and insulated gate bipolar transistor drive parameters—on EMI is meticulously analyzed by establishing a current spectrum characteristic analysis model of the critical path impedance. This study calculates current characteristic curves under varying filter parameters for interference suppression, while voltage characteristic curves are computed based on a comprehensive electric drive system model. The mapping relationship between current and voltage spectrum characteristics is scrutinized, revealing a high consistency between the model’s current spectrum curves and the conducted interference voltage spectrum. This alignment enables precise prediction of risk frequency points. Moreover, the critical path impedance model remarkably enhances computational efficiency by 87.5%, thereby facilitating an efficient evaluation and design of EMI suppression in electric drive systems. The proposed technique effectively reconciles the incompatibility between accurate EMI prediction and efficient filter circuit design. Experimental results corroborate the technique’s accuracy and reliability. This method, validated through stringent testing, holds significant practical value and broad applicability, marking a substantial advancement in the field of electromagnetic compatibility for electric drive systems. |
| format | Article |
| id | doaj-art-0bae68f3be494bd7bb8264069a334841 |
| institution | OA Journals |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-0bae68f3be494bd7bb8264069a3348412025-08-20T02:25:04ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-04-0116420110.3390/wevj16040201Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive SystemsRuoxi Tan0Shangbin Ye1Qianlei Peng2Changhong Du3Zeyan Zhou4Deepal Automobile Technology Co., Ltd., Chongqing 400714, ChinaDeepal Automobile Technology Co., Ltd., Chongqing 400714, ChinaDeepal Automobile Technology Co., Ltd., Chongqing 400714, ChinaDeepal Automobile Technology Co., Ltd., Chongqing 400714, ChinaDeepal Automobile Technology Co., Ltd., Chongqing 400714, ChinaAccurate prediction and efficient suppression of conducted electromagnetic interference(EMI) in electric drive systems(EDS) are achieved through an innovative technique proposed in this paper, leveraging a key path impedance characteristic model. The influence of critical components—namely; three-phase alternating current modules; motors; and insulated gate bipolar transistor drive parameters—on EMI is meticulously analyzed by establishing a current spectrum characteristic analysis model of the critical path impedance. This study calculates current characteristic curves under varying filter parameters for interference suppression, while voltage characteristic curves are computed based on a comprehensive electric drive system model. The mapping relationship between current and voltage spectrum characteristics is scrutinized, revealing a high consistency between the model’s current spectrum curves and the conducted interference voltage spectrum. This alignment enables precise prediction of risk frequency points. Moreover, the critical path impedance model remarkably enhances computational efficiency by 87.5%, thereby facilitating an efficient evaluation and design of EMI suppression in electric drive systems. The proposed technique effectively reconciles the incompatibility between accurate EMI prediction and efficient filter circuit design. Experimental results corroborate the technique’s accuracy and reliability. This method, validated through stringent testing, holds significant practical value and broad applicability, marking a substantial advancement in the field of electromagnetic compatibility for electric drive systems.https://www.mdpi.com/2032-6653/16/4/201electric drive systemelectromagnetic interferenceimpedance characteristicspredictionsuppression |
| spellingShingle | Ruoxi Tan Shangbin Ye Qianlei Peng Changhong Du Zeyan Zhou Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems World Electric Vehicle Journal electric drive system electromagnetic interference impedance characteristics prediction suppression |
| title | Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems |
| title_full | Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems |
| title_fullStr | Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems |
| title_full_unstemmed | Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems |
| title_short | Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems |
| title_sort | research on efficient prediction and suppression of electromagnetic interference in electric drive systems |
| topic | electric drive system electromagnetic interference impedance characteristics prediction suppression |
| url | https://www.mdpi.com/2032-6653/16/4/201 |
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