Title :
Monitoring and Fault Diagnosis of Multiconverter Systems in Hybrid Electric Vehicles
Author :
Jayabalan, R. ; Fahimi, B.
Author_Institution :
Univ. of Texas, Arlington, TX
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 systems. 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 additional sensors. The technique not only detects system malfunction but also 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 :
condition monitoring; electric sensing devices; fault diagnosis; hybrid electric vehicles; power convertors; power semiconductor devices; statistical analysis; fault detection; fault diagnosis; fault identification; high-power semiconductor technology; hybrid electric vehicles; hybrid vehicle automotive power systems; multiconverter system monitoring; power electronics converters; safety critical applications; statistical moments; system current sensor; 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; Fault diagnosis; hybrid electric automotive power system; multiconverters; statistical moments;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2006.878716