High Power Density IGBT Loss Calculation Model and Analysis

Feng Wang (), Yifan Song, Wang Dou, Zhaolei Zheng, Zhuangzhuang Li, Biao Li and Jun Liu
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Feng Wang: School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
Yifan Song: School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
Wang Dou: School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
Zhaolei Zheng: School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
Zhuangzhuang Li: School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
Biao Li: School of Energy and Power Engineering, Chongqing University, Chongqing 400044, China
Jun Liu: New Energy Research Institute, Chongqing Changan Automobile Co., Ltd., Chongqing 400023, China

Energies, 2025, vol. 18, issue 4, 1-13

Abstract: This paper presents the establishment of an accurate loss model for high-power-density IGBT modules used in electric vehicles, leveraging the thermal simulation capabilities of the power electronics simulation software PLECS 4.1. The study aims to address the significant influence of IGBT losses on the energy efficiency and reliability of electric vehicles. A simulation model was built using the SVPWM modulation strategy to drive a three-phase inverter, and the average loss method was employed to determine both conduction and switching losses. The simulation results were compared with calculations based on the datasheet, showing a deviation of less than 4%. For instance, the actual conduction loss was found to be 7.988 W, compared to the theoretical calculation of 8.16 W, with a deviation of 2.15%. Similarly, the switching loss was 22.069 W, compared to the theoretical value of 22.447 W, with a deviation of 1.71%. These results confirm that the proposed model accurately predicts losses under specified conditions. Compared with traditional methods, the model presented in this paper offers higher precision and improved simulation speed, thus proving effective for accurate loss analysis of IGBT modules and supporting further energy efficiency improvement and system optimization in electric vehicles.

Keywords: automotive motor controller; loss model; SVPWM; thermal simulation; IGBT (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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