scholarly journals Analysis and Verification of Traction Motor Iron Loss for Hybrid Electric Vehicles Based on Current Source Analysis Considering Inverter Switching Carrier Frequency

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2714
Author(s):  
Jin-Hwan Lee ◽  
Woo-Jung Kim ◽  
Sang-Yong Jung

In this study, a current source analysis method considering the inverter switching frequency is proposed to improve the precision of loss analysis of a traction motor for a hybrid electric vehicle. Because the iron loss of the traction motor is sensitively influenced by input current fluctuations, the current source analysis using the actual current obtained from an inverter is the ideal method for accurate analysis. However, as the traction motor and inverter should be manufactured to obtain the real current, the traction motor is generally designed based on an ideal current source analysis. Our proposed method is an analytic technique that fits the loss of a traction motor similar to the actual loss by injecting harmonics of the same order of the inverter switching frequency into the ideal input current. Our method is compared with the analysis of the ideal current source to assess the difference in loss. In addition, a test motor was manufactured, and an efficiency test was conducted to compare the efficiency and verify the effectiveness of our method.

2014 ◽  
Vol 533 ◽  
pp. 321-327
Author(s):  
Wei Wang ◽  
Guang Kui Shi ◽  
Hong Wei Zhang

The basic characteristic for traction motor of hybrid electric vehicle affected the dynamics, economy as well as reliability performance for the vehicle directly. The paper derived all kinds of requirements for traction motor according to how improve the overall performance for vehicle. The control mode, static characteristics and dynamic characteristics for the traction motor were separately proposed, and performance index for traction motor were quantitative or quantitative analyzed. As a result, theoretical principle was supplied for parameter matching and evaluation for traction in this paper.


2012 ◽  
Author(s):  
Jason Lai ◽  
Wensong Yu ◽  
Pengwei Sun ◽  
Scott Leslie ◽  
Duane Prusia ◽  
...  

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