Title :
Monitoring and fault diagnosis of cascaded multiconverter systems in hybrid electric vehicles
Author :
Jayabalan, R. ; Fahimi, B.
Author_Institution :
Texas Univ., Arlington, TX, USA
Abstract :
Advancements in high-power semiconductor technology have opened new avenues for application of power electronics converters in safety critical applications such as in hybrid vehicle automotive power system. This paper discusses the use of statistical moments to detect and identify faults. Existing system current and voltage sensors are used without the need for any addition sensors. The technique not only detects system malfunction, but provides information on the device under fault and the nature of the fault. An accurate knowledge of the same will allow appropriate action to be taken to avoid propagation of fault that may lead to catastrophic failure.
Keywords :
failure analysis; fault location; hybrid electric vehicles; monitoring; power convertors; statistical analysis; cascaded multiconverter system; catastrophic failure; current sensor; fault detection; fault diagnosis; fault propagation; high-power semiconductor technology; hybrid electric vehicle; monitoring; power electronics converter; safety critical application; statistical moment; voltage sensor; Automotive engineering; Electrical fault detection; Fault diagnosis; Hybrid electric vehicles; Hybrid power systems; Monitoring; Power electronics; Power system faults; Sensor systems; Vehicle safety;
Conference_Titel :
Vehicle Power and Propulsion, 2005 IEEE Conference
Print_ISBN :
0-7803-9280-9
DOI :
10.1109/VPPC.2005.1554612