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-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.