Open AccessCommon Model EMI Prediction in Motor Drive System for Electric Vehicle Application
Author(s) -
Yongming Yang,
Hemeng Peng,
Quandi Wang
Publication year - 2015
Publication title -
journal of electrical engineering and technology/journal of electrical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.226
H-Index - 27
eISSN - 2093-7423
pISSN - 1975-0102
DOI - 10.5370/jeet.2015.10.1.205
Subject(s) - equivalent circuit , emi , electromagnetic interference , engineering , common mode signal , electrical impedance , electronic engineering , capacitance , interference (communication) , voltage , finite element method , parasitic capacitance , computation , control theory (sociology) , computer science , electrical engineering , algorithm , digital signal processing , physics , channel (broadcasting) , quantum mechanics , control (management) , structural engineering , electrode , artificial intelligence , analog signal
Common mode (CM) conducted interference are predicted and compared with experiments in a motor drive system of Electric vehicles in this study. The prediction model considers each part as an equivalent circuit model which is represented by lumped parameters and proposes the parameter extraction method. For the modeling of the inverter, a concentrated and equivalent method is used to process synthetically the CM interference source and the stray capacitance. For the parameter extraction in the power line model, a computation method that combines analytical method and finite element method is used. The modeling of the motor is based on measured date of the impedance and vector fitting technique. It is shown that the parasitic currents and interference voltage in the system can be simulated in the different parts of the prediction model in the conducted frequency range (150 kHz-30 MHz). Experiments have successfully confirmed that the approach is effective.