Residual Generator Selection for Fault Diagnosis of Hybrid Vehicle Powertrains
The performance of a model based diagnosis system is affected by the
selection of consistency relation in a set of equations with
analytical redundancy in a non-linear system. To investigate aspects
due to this, two diagnosis systems of a parallel hybrid truck are
designed, and both static and dynamic issues are considered. A
simplified vehicle model is used to exemplify how a unique expression
for the residual generator can be found for one selection of
consistency relation, but not for others, using the same set of
equations. A simulation study using the entire vehicle model is made
to investigate how the performance in the diagnosis system is affected
when dynamic equations are either differentiated or integrated. The
diagnosis systems are designed using structural analysis in
combination with the algebraic expressions. One key result is that it
is not trivial to find a computational order by hand that fulfills the
predefined conditions on the computational sequence, and therefore
systematic methods are valuable.
Christofer Sundström, Erik Frisk and Lars Nielsen
2011
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Last updated: 2021-11-10
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