Cost Optimization by Method of Allocating Software Component Units to Electronic Control Units for Model-Driven Designs

model;harness;automobile;electronics;QP;wiring harness;Vehicle harness

Honnavara, Vinay Srinivasan ; Dr Paul. D. Franzon, Committee Chair,Dr Thomas. W. Reiland, Committee Member,Dr Mo-Yuen Chow, Committee Member,Honnavara, Vinay Srinivasan ; Dr Paul. D. Franzon ; Committee Chair ; Dr Thomas. W. Reiland ; Committee Member ; Dr Mo-Yuen Chow ; Committee Member

University:North Carolina State University

关键词: model;    harness;    automobile;    electronics;    QP;    wiring harness;    Vehicle harness;   

Others  :  https://repository.lib.ncsu.edu/bitstream/handle/1840.16/343/etd.pdf?sequence=1&isAllowed=y

美国|英语

来源: null

【 摘 要 】

Technological advancement in the semiconductor industry and applications hascaused a tremendous growth in vehicular electronics, one of the major hurdles due to thisexplosion 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 multiplearchitectures can be designed and evaluated at a faster rate without the necessity of buildingan actual automotive.A binary quadratic programming model (BQP) is designed to optimize the wiringand also consider the total cost of the electronics, so that an optimal minimal cost solutioncan be achieved with respect to the electronics of the automotive. The solution of BQPmodel will result in the assignment of software components (software tasks) to electroniccontrol units (processors) based on various constraints like memory, performance e.t.c. andto achieve the wiring harness. A software package which will setup the environment, solvethe binary quadratic programming model to optimality and provide solution sets will bepresented here.The thesis work will provide benchmarks for various problems and a variant ofan actual automobile. These benchmarks range from simple examples to futuristic vehiclesand provide an insight into the optimization achieved from a system perspective. A simpleexample is used to illustrate the parameters of the BQP model and results are presented.