Abstract

Recently the author presented the paper describing a car cabin heat load model for the prediction of the car cabin environment. The model allowed to simulate a transient behavior of the car cabin, i.e. radiant temperature of surfaces, air temperature and relative humidity. The model was developed in Dymola and was built on the basic principles of thermodynamics and heat balance equations. The model was validated by experiments performed on the Skoda Felicia during various operational conditions. In this paper the authors present a parametric study investigating influence of material properties on a car cabin environment. The Matlab version of the car cabin heat load model has been developed and used. The model was extended by simple graphical user interface and it was deployed into the stand alone executable application. The aim of this parametric study is to identify most important material properties and its effect on the cabin environment during specific operational conditions of car. By means of a sensitive analysis it can identified which material parameters have to be defined precisely and which parameters are not so important for the prediction of the air temperature inside cabin.

Highlights

  • The input/output sensitivity analysis is very important process during designing of the new computational model

  • The mentioned model is designed for the fast prediction of the car cabin environment during various operating conditions

  • For the parametric study was chosen two scenarios: parking and driving. For both cases the material modifications were done to identify its effect on the car cabin environment, and air zone temperature especially

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Summary

Introduction

The input/output sensitivity analysis is very important process during designing of the new computational model. In this paper authors present a sensitivity analysis of “Operational heat balance model with parameterized geometry for the prediction of car cabin heat loads”, which was recently presented in [1]. The mentioned model is designed for the fast prediction of the car cabin environment during various operating conditions. Such kind of computational tool is useful during early stage of the new car and its HVAC system design. Main inputs of the model are weather data, operating conditions of car, geometry and material composition. Main outputs of the model are air zone and surface temperatures, air zone relative humidity and car cabin heat load

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