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Enhanced Particle Filtering-Based Lifetime Prediction for IGBT in High-speed Trains
ID：22 View Protection：ATTENDEE Updated Time：2023-11-20 13:45:33 Hits：1007 Oral Presentation

Start Time：2023-12-09 09:45（Asia/Shanghai）

Duration：15min

Session：S2 Power electronic technology and application » S2Power 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
Speaker
Zhang Kunpeng
Lecturer East China Jiaotong University

Submission Author
Zhang Kunpeng East China Jiaotong University
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Important Date

  • Conference Date

    Dec 08

    2023

    to

    Dec 10

    2023

  • Nov 01 2023

    Draft paper submission deadline

  • Dec 10 2023

    Registration deadline

Sponsored By
IEEE IAS
Organized By
Southwest Jiaotong University (SWJTU)
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