Prognostic and Warning System for Power-Electronic Modules in Electric, Hybrid Electric, and Fuel-Cell Vehicles

Reliability of power-electronic modules is of paramount importance for the commercial success of various types of electric vehicles. In this paper, we study the technical feasibility of detecting and utilizing early symptoms and warning signs of power-module degradation due to thermomechanical stres...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) Vol. 55; no. 6; pp. 2268 - 2276
Main Authors: Yali Xiong, Xu Cheng, Shen, Z.J., Chunting Mi, Hongjie Wu, Garg, V.K.
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Alarm systems
Computer programs
Degradation
Electric vehicles
electronics module
Fatigue
Fuel cells
Hardware
Hybrid electric vehicles
hybrid vehicles
Matlab
Modules
Monitoring
Monitors
Power system reliability
reliability
Thermal stresses
Thermomechanical processes
Vehicle detection
Vehicles
electric vehicles
hybrid vehicles
electronics module
reliability
ISSN:0278-0046, 1557-9948
Online Access:Get full text
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Summary:Reliability of power-electronic modules is of paramount importance for the commercial success of various types of electric vehicles. In this paper, we study the technical feasibility of detecting and utilizing early symptoms and warning signs of power-module degradation due to thermomechanical stress and fatigue and develop a prognostic system that can monitor the state of health of the power modules in electric, hybrid, and fuel-cell vehicles. A special degradation trace on the V CEsat of the insulated-gate bipolar-transistor modules was observed by a power-cycling accelerated test, which was not reported in literatures. A prognostic system based on utilizing the aforementioned trace is then developed. The system consists of the hardware architecture and current adaptive-algorithm-based software architecture. In addition, this prognostic system hardly increases the hardware cost on existing vehicle-driver system. An extensive simulation based on MATLAB/Simulink verifies the developed prognostic system.
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ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2008.918399