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HE Fengchun,JIA Xiaoyu,CHEN Min,XU Dehong,HE Maojun,LIU Xudan.Study on Distributed Parameter Extraction of Permanent Magnet Synchronous Motor in EV[J].JOURNAL OF POWER SUPPLY,2019,17(5):177-185
Study on Distributed Parameter Extraction of Permanent Magnet Synchronous Motor in EV
Received:January 31, 2019  Revised:May 19, 2019
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DOI:10.13234/j.issn.2095-2805.2019.5.177
Keywords:permanent magnet synchronous motor(PMSM)  electromagnetic interference(EMI) model  electric vehicle(EV)
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HE Fengchun College of Electrical Engineering, Zhejiang University, Hangzhou , China
JIA Xiaoyu College of Electrical Engineering, Zhejiang University, Hangzhou , China
CHEN Min College of Electrical Engineering, Zhejiang University, Hangzhou , China
XU Dehong College of Electrical Engineering, Zhejiang University, Hangzhou , China xdh@zju.edu.cn
HE Maojun BoschChina Investment Ltd. CR/RTC2-AP, Shanghai , China
LIU Xudan BoschChina Investment Ltd. CR/RTC2-AP, Shanghai , China
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Abstract:
      The power-train in an electric vehicle(EV) usually consists of a battery pack, an inverter and a perman-ent magnet synchronous motor(PMSM). The power-train system may cause electromagnetic interference(EMI) due to the high-frequency switching behavior of the power semiconductor device in the inverter. Since the PMSM provides propagation paths for the common-mode and differential-mode EMI and its parasitic parameters enhance the EMI, it is an important part of the EMI model for the EV's power-train system. In this paper, based on a lumped parameter model of PMSM, the model's circuit components were associated with the motor's parasitic parameters by analyzing the motor's physical structure at first. Then, a method was proposed to obtain the winding inductance, mutual inductance, parasitic capacitance, copper loss resistance and core loss resistance by combining the theoretical calculation and simulations using finite element analysis(FEA), and the theoretical calculation method was verified by experimental measurements. Based on the proposed parameter extraction method, the parameters of the lumped parameter model were obtained, which were validated through simulations and experimental measurements by a network analyzer.
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