Cost Optimization by Method of Allocating Software Component Units to Electronic Control Units for Model-Driven Designs
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Date
2008-12-04
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Abstract
Technological advancement in the semiconductor industry and applications has
caused a tremendous growth in vehicular electronics, one of the major hurdles due to this
explosion is the increase in wiring beyond proportions. Due to the increase in wiring,
mileage, stability and reliability of the automotive is affected. At this critical juncture,
model based designs allows a software implementation of the automotive and hence multiple
architectures can be designed and evaluated at a faster rate without the necessity of building
an actual automotive.
A binary quadratic programming model (BQP) is designed to optimize the wiring
and also consider the total cost of the electronics, so that an optimal minimal cost solution
can be achieved with respect to the electronics of the automotive. The solution of BQP
model will result in the assignment of software components (software tasks) to electronic
control units (processors) based on various constraints like memory, performance e.t.c. and
to achieve the wiring harness. A software package which will setup the environment, solve
the binary quadratic programming model to optimality and provide solution sets will be
presented here.
The thesis work will provide benchmarks for various problems and a variant of
an actual automobile. These benchmarks range from simple examples to futuristic vehicles
and provide an insight into the optimization achieved from a system perspective. A simple
example is used to illustrate the parameters of the BQP model and results are presented.
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Keywords
model, harness, automobile, electronics, QP, wiring harness, Vehicle harness
Citation
Degree
MS
Discipline
Electrical Engineering