Parasitic Effect Compensation Method for IGBT ON-State Voltage Measurement in Traction Inverter Application

Peng, Yingzhou; Chu, Kaiqi; Mu, Shujia; Cao, Huabao; Wang, Huai

doi:10.1109/tpel.2021.3130209

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…Gridconnected inverters play an important role in electricity generation using various energy sources, so they have been widely used in the field of power generation [1][2][3][4][5][6], and their reliability is very important for stably and reliably merging the generated electricity in to the large power grid [7][8][9][10][11]. IGBT module is one of the most widely used power switching device in various power converters, and its reliability determines the reliability of grid-connected inverters [12][13][14][15][16]. According to existing research findings, temperature fluctuation during operation is the primary reason for gradual failure of IGBT module, and causes for such temperature fluctuation include the fundamental frequency junction temperature fluctuation caused by sinusoidal changes of network side current, and the low frequency junction temperature fluctuation caused by power fluctuation of system [17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

A Thermal Management Strategy for Inverter System Based on Predictive Control

Zheng-de¹

2023

IJHT

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Temperature fluctuation is the primary reason for gradual failure of IGBT (Insulated Gate Bipolar Transistor) module in inverter system, and overall thermal management is an effective way to smooth temperature fluctuation and prolong the service life of IGBT module. Currently there are a series of problems with the module temperature management method of inverter system, including complicated control method, limited adjustment range, slow response, and poor control accuracy, etc. To cope with these matters, this paper aims to study a thermal management strategy for inverter system. At first, this paper built a model for temperature prediction and control of inverter system based on linear timevarying state space, the model measures system state based on estimation and can calculate the control variables with the mutual effect between different variables taken into consideration but without the necessity of system decoupling. Then, this paper proposed a thermal management strategy for inverter system based on predictive control and optimized it further. At last, the validity of the constructed model and the proposed strategy were verified by experimental results.

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