To improve driving safety it is of outmost importance to guarantee that the windshield never starts fogging by means of an automatic and reliable procedure. To reach this goal and keeping always in mind comfort and fuel consumption, a fogging condition estimation algorithm has been developed. It requires a Mean Radiant Temperature (MRT) sensor and a humidity sensor. The MRT sensor is placed on the cabin compartment roof and points towards the dashboard and the windshield. The proposed sensors layout provides signals both for climate control and for humidity management. With respect to standard layout, it allows a reduction in the number of sensors. Standard production FIAT Auto approach to guarantee the same functions (thermal comfort and incipient fogging estimation) requires 4 sensors: cabin air temperature, ambient temperature, solar sensor, optic fogging sensor. The one described here, 3 sensors: ambient air, MRT sensor, humidity sensor. It has to be taken into account that optic fogging sensor, besides being sensible to dirt, it is also quite costly. If we add also humidity management function, standard production layout would require an additional relative humidity sensor. As discussed above, this approach does not require additional sensors for humidity management. In this case, there would be two sensors less.This approach, thanks to its high level of integration, offers high potential for cost savings.


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    Titel :

    Windshield fogging by means of mean radiant temperature sensor


    Weitere Titelangaben:

    Messen des Beschlags der Winschutzscheibe mit Hilfe eine Temperaturradiant-Sensors


    Beteiligte:
    Mola, S. (Autor:in) / Lo Presti, G. (Autor:in) / Magini, M. (Autor:in) / Presutti, N. (Autor:in) / Malvicino, C. (Autor:in) / Bisceglia, G. (Autor:in) / Mandrile, M. (Autor:in) / Tarzia, A. (Autor:in) / Caviasso, G. (Autor:in)


    Erscheinungsdatum :

    2004


    Format / Umfang :

    11 Seiten, 6 Bilder, 3 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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