Despite all efforts in realising the perfect universal base comfort level, there is still a considerable amount of interference with the controls of a automatic HVAC system by passengers. To provide personalised comfort levels to individual passengers a truly learning system based on a neural network can be successfully used. This system in combination with a passenger behaviour management system adapts the factory-set base comfort level to the individual preferences thus reducing the amount of interference and increasing the individual satisfaction with an improved HVAC control system.


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    Title :

    Adaptive Comfort Control


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Vehicle Thermal Management Systems Conference & Exposition ; 2005



    Publication date :

    2005-05-10




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Adaptive comfort control

    Quillard,J. / Achaichia,N. / Delphi Thermal a.Interior,US | Automotive engineering | 2005


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