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Title:An online power loss calculation framework for IGBTs in a three-phase inverter
Author(s):Wu, Michael
Advisor(s):Banerjee, Arijit
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):IGBT
health
monitoring
Abstract:Insulated-gate bipolar transistors (IGBTs) are used in a wide range of high-power applications for their high voltage blocking and current conduction capabilities. In these applications, IGBTs are subjected to harsh operating conditions and face reliability issues. Online health monitoring has been proposed to reduce IGBT failure as it enables condition evaluation while keeping the power electronics system in operation. To perform online health monitoring, it is crucial to know the junction temperature of the IGBT. Many proposed methods of online health monitoring investigate the use of thermo-sensitive electrical parameters. These parameters are strong functions of the junction temperature of an IGBT. However, these parameters also vary with operating conditions like dc-link voltage and load current, which can affect the junction temperature calculation. This thesis introduces an IGBT power loss calculation framework for six IGBTs in a three-phase two-level inverter. Using a Foster network model of an IGBT module, the power loss information gives the difference between the junction temperature and the case temperature of the IGBT. The proposed framework has three main components: on-state voltage measurement circuits, a sensor interface circuit board, and a data storage system. In this thesis, two IGBT on-state voltage measurement topologies are examined and discussed. Software requirements for the sensor interface board are specified. Finally, the algorithm of a data storage system is proposed. The data storage system receives data from the measurement and sensor boards. It measures the output current of each inverter leg and calculates the power loss in all six IGBT modules.
Issue Date:2020-05-15
Type:Thesis
URI:http://hdl.handle.net/2142/108356
Rights Information:Copyright 2020 Michael Wu
Date Available in IDEALS:2020-08-27
Date Deposited:2020-05


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