Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/37119
Title: Real-Time Temperature Estimation for Power MOSFETs Considering Thermal Aging Effects
Authors: Chen, H.
Ji, Bing
Pickert, V.
Cao, W.
First Published: 22-Nov-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE), United States
Citation: Device and Materials Reliability, IEEE Transactions on, 2014, 14(1), pp. 220-228
Abstract: This paper presents a novel real-time power-device temperature estimation method that monitors the power MOSFET's junction temperature shift arising from thermal aging effects and incorporates the updated electrothermal models of power modules into digital controllers. Currently, the real-time estimator is emerging as an important tool for active control of device junction temperature as well as online health monitoring for power electronic systems, but its thermal model fails to address the device's ongoing degradation. Because of a mismatch of coefficients of thermal expansion between layers of power devices, repetitive thermal cycling will cause cracks, voids, and even delamination within the device components, particularly in the solder and thermal grease layers. Consequently, the thermal resistance of power devices will increase, making it possible to use thermal resistance (and junction temperature) as key indicators for condition monitoring and control purposes. In this paper, the predicted device temperature via threshold voltage measurements is compared with the real-time estimated ones, and the difference is attributed to the aging of the device. The thermal models in digital controllers are frequently updated to correct the shift caused by thermal aging effects. Experimental results on three power MOSFETs confirm that the proposed methodologies are effective to incorporate the thermal aging effects in the power-device temperature estimator with good accuracy. The developed adaptive technologies can be applied to other power devices such as IGBTs and SiC MOSFETs, and have significant economic implications.
DOI Link: 10.1109/TDMR.2013.2292547
ISSN: 1530-4388
Links: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6674100&filter%3DAND%28p_IS_Number%3A6755472%29%26pageNumber%3D2
http://hdl.handle.net/2381/37119
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Appears in Collections:Published Articles, Dept. of Engineering

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