Enhanced Particle Filtering-Based Lifetime Prediction for IGBT in High-speed Trains
ID：22
Submission ID：47 View Protection：ATTENDEE
Updated Time：2023-11-20 13:45:33 Hits：215
Oral Presentation
Start Time：2023-12-09 09:45 （Asia/Shanghai）
Duration：15min
Session：[S2] Power electronic technology and application » [S2] Power electronic technology and application
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Abstract
For the high-speed, high-power and long-attended-time applications, traction converters with IGBT in high speed train have become the most fragile component during the conventional operations. In consideration of the difficulty of monitoring junction temperature of IGBT, the fatigue failure analysis is used as the basis to fit the junction temperature mathematical model, and then the enhanced particle filtering algorithm is used to predict the lifetime of IGBT module. Case studies performed on a simulation example and two test-to-failure experiments indicate that the presented approach can accurately predict the lifetime of IGBT,which is helpful for improving the reliability of the device.
Keywords
IGBT, life prediction, junction temperature prediction, particle filter, fatigue failure
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