Fault Monitoring of the Electric Machine in a Hybrid Vehicle
A diagnosis system for the electric machine and the power electronics
in a hybrid electric vehicle is designed, where the diagnosis system
uses a map based model of the system to be monitored. Such a model
gives an accurate description of the fault free system, and is
therefore suited for fault detectability. However, one drawback using
such a model for diagnosis is that fault isolation often requires that
the model, in addition to the fault free case, also describes the
faulty system, and thereby measurements of the faulty system are
needed, which is costly. Another approach is to use a model including
physical parameters of interest in the system to be monitored, to also
describe the faults’ impact on the system. To achieve good diagnostic
performance such a model needs to be accurate, which also is
costly. Therefore, in the new approach taken here, two models for the
system are used in combination to achieve good fault detectability and
isolability; one is a map based model, and one is describing the
faults of the system. It is shown that the approach works well and is
a promising path to achieve both good fault detectability and
isolability performance, without the need for neither measurements of
a faulty system nor detailed physical modeling. In a simulation study
evaluating the designed diagnosis system all faults are isolated and
also accurately estimated.
Christofer Sundström, Erik Frisk and Lars Nielsen
2013
Page responsible: webmaster
Last updated: 2021-11-10
LiU startsida
