With the rapid development of the world economy,IGBT has been widely used in motor drive and electric energy conversion.In order to timely detect the fatigue damage of IGBT,it is necessary to monitor the junction temp...With the rapid development of the world economy,IGBT has been widely used in motor drive and electric energy conversion.In order to timely detect the fatigue damage of IGBT,it is necessary to monitor the junction temperature of IGBT.In order to realize the fast calculation of IGBT junction temperature,a finite element method of IGBT temperature field reduction is proposed in this paper.Firstly,the finite element calculation process of IGBT temperature field is introduced and the linear equations of finite element calculation of temperature field are derived.Temperature field data of different working conditions are obtained by finite element simulation to form the sample space.Then the covariance matrix of the sample space is constructed,whose proper orthogonal decomposition and modal extraction are carried out.Reasonable basis vector space is selected to complete the low dimensional expression of temperature vector inside and outside the sample space.Finally,the reduced-order model of temperature field finite element is obtained and solved.The results of the reduced order model are compared with those of the finite element method,and the performance of the reduced-order model is evaluated from two aspects of accuracy and rapidity.展开更多
A model of Insulated Cate Bipolar(IGBT) based on analysis of nonlinear capacitances is devefoped and implemented. IGBT internal capacitances and their behavior are described as the functions of the interelectrode volt...A model of Insulated Cate Bipolar(IGBT) based on analysis of nonlinear capacitances is devefoped and implemented. IGBT internal capacitances and their behavior are described as the functions of the interelectrode voltag-es and the IGBT characteristic parameters. This model is verified by the experimenis of IRGBH50F(1200V50A). The comparison of the experimental and the simulative characteristics is obtained in the graphs.展开更多
A subcircuit based model for the insulated gate bipolar transistor(IGBT) is proposed and optimized. The IGBT wide base conductivity modulated resistor is effectively equivalent by using a voltage controlled resistor. ...A subcircuit based model for the insulated gate bipolar transistor(IGBT) is proposed and optimized. The IGBT wide base conductivity modulated resistor is effectively equivalent by using a voltage controlled resistor. Based on analytical equation describing the semiconductor physics, the model parameters are extracted accurately via measured data without device destruction. Employing the MOS level 8 SPICE model, the proposed IGBT subcircuit model gives more simulation accuracy and easy convergence, the simulation results are verified by comparison with measured results.展开更多
The power module of the Insulated Gate Bipolar Transistor(IGBT)is the core component of the traction transmission system of high-speed trains.The module's junction temperature is a critical factor in determining d...The power module of the Insulated Gate Bipolar Transistor(IGBT)is the core component of the traction transmission system of high-speed trains.The module's junction temperature is a critical factor in determining device reliability.Existing temperature monitoring methods based on the electro-thermal coupling model have limitations,such as ignoring device interactions and high computational complexity.To address these issues,an analysis of the parameters influencing IGBT failure is conducted,and a temperature monitoring method based on the Macro-Micro Attention Long Short-Term Memory(MMALSTM)recursive neural network is proposed,which takes the forward voltage drop and collector current as features.Compared with the traditional electricalthermal coupling model method,it requires fewer monitoring parameters and eliminates the complex loss calculation and equivalent thermal resistance network establishment process.The simulation model of a highspeed train traction system has been established to explore the accuracy and efficiency of MMALSTM-based prediction methods for IGBT power module junction temperature.The simulation outcomes,which deviate only 3.2% from the theoretical calculation results of the electric-thermal coupling model,confirm the reliability of this approach for predicting the temperature of IGBT power modules.展开更多
基金supported in part by Heilongjiang Provincial Natural Science Foundation of China under Project TD2021E004in part by Ningbo Science and Technology Bureau under S&T Innovation 2025 Major Special Programme with project code 2019B10071。
文摘With the rapid development of the world economy,IGBT has been widely used in motor drive and electric energy conversion.In order to timely detect the fatigue damage of IGBT,it is necessary to monitor the junction temperature of IGBT.In order to realize the fast calculation of IGBT junction temperature,a finite element method of IGBT temperature field reduction is proposed in this paper.Firstly,the finite element calculation process of IGBT temperature field is introduced and the linear equations of finite element calculation of temperature field are derived.Temperature field data of different working conditions are obtained by finite element simulation to form the sample space.Then the covariance matrix of the sample space is constructed,whose proper orthogonal decomposition and modal extraction are carried out.Reasonable basis vector space is selected to complete the low dimensional expression of temperature vector inside and outside the sample space.Finally,the reduced-order model of temperature field finite element is obtained and solved.The results of the reduced order model are compared with those of the finite element method,and the performance of the reduced-order model is evaluated from two aspects of accuracy and rapidity.
文摘A model of Insulated Cate Bipolar(IGBT) based on analysis of nonlinear capacitances is devefoped and implemented. IGBT internal capacitances and their behavior are described as the functions of the interelectrode voltag-es and the IGBT characteristic parameters. This model is verified by the experimenis of IRGBH50F(1200V50A). The comparison of the experimental and the simulative characteristics is obtained in the graphs.
文摘A subcircuit based model for the insulated gate bipolar transistor(IGBT) is proposed and optimized. The IGBT wide base conductivity modulated resistor is effectively equivalent by using a voltage controlled resistor. Based on analytical equation describing the semiconductor physics, the model parameters are extracted accurately via measured data without device destruction. Employing the MOS level 8 SPICE model, the proposed IGBT subcircuit model gives more simulation accuracy and easy convergence, the simulation results are verified by comparison with measured results.
基金supported by the Science and Technology Project of the Headquarters of the State Grid Corporation of China(52199922001U).
文摘The power module of the Insulated Gate Bipolar Transistor(IGBT)is the core component of the traction transmission system of high-speed trains.The module's junction temperature is a critical factor in determining device reliability.Existing temperature monitoring methods based on the electro-thermal coupling model have limitations,such as ignoring device interactions and high computational complexity.To address these issues,an analysis of the parameters influencing IGBT failure is conducted,and a temperature monitoring method based on the Macro-Micro Attention Long Short-Term Memory(MMALSTM)recursive neural network is proposed,which takes the forward voltage drop and collector current as features.Compared with the traditional electricalthermal coupling model method,it requires fewer monitoring parameters and eliminates the complex loss calculation and equivalent thermal resistance network establishment process.The simulation model of a highspeed train traction system has been established to explore the accuracy and efficiency of MMALSTM-based prediction methods for IGBT power module junction temperature.The simulation outcomes,which deviate only 3.2% from the theoretical calculation results of the electric-thermal coupling model,confirm the reliability of this approach for predicting the temperature of IGBT power modules.