Method of Predicting Temperature Variations on Engine-off Vehicle Parts

Abstract

Predicting temperature variations of vehicle parts by CFD is considered an effective tool to reduce vehicle development time. But existing methods are difficult to be applied to the advanced development of vehicles due to long computing time or low accuracy. In this study, we developed an efficient approach to predict parts temperature variations based on weak coupled method. This method boasts high calculation accuracy almost comparable the Strong Coupled Method (SCM) by using a new interpolation technique, while the calculation speed is several ten times higher than SCM.