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- W1526597617 abstract "Renewable energy is developing rapidly and gaining more and more commercialviability. High reliability of the generation system is essential to maximize theoutput power. The power inverter is an important unit in this system and isbelieved to be one of the most unreliable parts. In the case of wind powergeneration, especially in off-shore wind, when the system reliability requirementis high, a technique to predict the inverter lifetime is invaluable as it would helpthe inverter designer optimize his design for minimal maintenance.Previous researchers studying inverter lifetime prediction, focus either at devicelevel such as device fatigue damage models, or at system level which requireexperimental data for their selected device. This work presents a new methodto estimate the inverter lifetime from a given mission profile within a reasonablesimulation time. Such model can be used as a converter design tool or an on-linelifetime estimation tool after being configured to a real converter system.The key contribution of this work is to link the physics of the power devices to alarge scale system simulation within a reasonable framework of time. With thistechnique, the system down time can be reduced and therefore more power canbe generated. Also, the failure damage to the system is avoided which reducesthe maintenance cost. A power cycling test is designed to gather the lifetimedata of a selected IGBT module. Die-attach solder fatigue is found out to be thedominant failure mode of this IGBT module. The accuracy of widely acceptedMiner’s rule, which accumulates damage linearly, is discussed and a nonlinearaccumulation method is promoted to predict the lifetime of power inverters." @default.
- W1526597617 created "2016-06-24" @default.
- W1526597617 creator A5034304352 @default.
- W1526597617 date "2012-07-01" @default.
- W1526597617 modified "2023-09-24" @default.
- W1526597617 title "Lifetime prediction for power converters" @default.
- W1526597617 hasPublicationYear "2012" @default.
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