# Optimization of Modular Wiring Harnesses by Means of Regression Models for Temperature Prediction of Wire Bundles

• A. Rius
• A. Garcia
• M. A. Díaz
Conference paper

## Abstract

Automotive wiring harnesses have become heavier and more complex due to their increasing number of electrical components. It is now desired to reduce their mass of copper. For this purpose, experimentation can be partially replaced by simulation, but it is still impossible to exhaustively simulate all of the combinations of modular wiring harness. This proposed approach consists of carrying out simulations using the FEM method and using their results to create regression models. Polynomial formulae can give the same information as simulations within a clearly reduced time and satisfying accuracy. An optimization algorithm introduced in this study will use them to assign new cable cross-sections of harnesses considering their currents and the ambient temperature.

## Keywords

Wire harness Optimization Weight reduction Regression Models Temperature prediction

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