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In-Situ Diagnostics and Prognostics of Solder Fatigue in IGBT Modules for Electric Vehicle Drives

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journal contribution
posted on 2016-04-04, 08:39 authored by Bing Ji, X. Song, W. Cao, V. Pickert, Y. HU, J. Mackersie, G. Pierce
This paper proposes an in situ diagnostic and prognostic (D&P) technology to monitor the health condition of insulated gate bipolar transistors (IGBTs) used in EVs with a focus on the IGBTs' solder layer fatigue. IGBTs' thermal impedance and the junction temperature can be used as health indicators for through-life condition monitoring (CM) where the terminal characteristics are measured and the devices' internal temperature-sensitive parameters are employed as temperature sensors to estimate the junction temperature. An auxiliary power supply unit, which can be converted from the battery's 12-V dc supply, provides power to the in situ test circuits and CM data can be stored in the on-board data-logger for further offline analysis. The proposed method is experimentally validated on the developed test circuitry and also compared with finite-element thermoelectrical simulation. The test results from thermal cycling are also compared with acoustic microscope and thermal images. The developed circuitry is proved to be effective to detect solder fatigue while each IGBT in the converter can be examined sequentially during red-light stopping or services. The D&P circuitry can utilize existing on-board hardware and be embedded in the IGBT's gate drive unit.

History

Citation

IEEE Transactions on Power Electronics, 2015, 30(3), pp. 1535-1543

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering

Version

  • VoR (Version of Record)

Published in

IEEE Transactions on Power Electronics

Publisher

Institute of Electrical and Electronics Engineers (IEEE), United States

issn

0885-8993

Acceptance date

2014-04-04

Copyright date

2015

Available date

2016-04-04

Publisher version

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6804693&filter=AND(p_IS_Number:6923502)&pageNumber=2

Language

en