Electric Vehicle (EV) motors and batteries do not create heat in the same way as internal combustion engines; therefore, new specific thermal management solutions are required. Thus the development of adequate simulation methodologies to predict the thermal behavior of new devices and their influence on the thermal comfort of the users is a key point of investigation. In this work two different thermal comfort analysis methodologies are presented and compared with climatic chamber tests. The first one is a zero-dimensional (0D) approach, based on the calculation of the different heat fluxe, that predicts the evolution of average temperature in the vehicle cabin and calculates standard comfort index Predicted Mean Vote (PMV). The second one is a Computational Fluid Dynamics (CFD) method coupled with a simplified human comfort model, also called the manikin model; it calculates a detailed thermal analysis of the cabin and gives a comfort index for some body segments. Those methodologies are intended to be used in different stages of the Heating, Ventilation, and Air Conditioning (HVAC) system design, using 0D as an initial dimensioning tool and CFD methodology for a detailed analysis. While the 0D approach is less computationally expensive and shows good agreement with experimental measurements and subjective comfort response, the CFD method performs better, especially in asymmetrical thermal loads scenarios.


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    Title :

    Assessment of Two Thermal Comfort Simulation Strategies for Electric Vehicle


    Additional title:

    Sae Int. J. Passeng. Veh. Syst


    Contributors:


    Publication date :

    2022-03-04


    Size :

    14 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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