In current series automatic air-conditioning electronic control units for vehicles there are already functions integrated as temperature control, mode control, driver, passenger independent control and much more. Next vehicle generations will have growing requirements for better cabin thermal comfort, more functional air conditioning system and shorter development period, the appearance of automatic climate control with higher functions is awaited. As passenger thermal feeling does not show linear characteristic, it is necessary to add some compensation functions to the linear automatic climate control to eliminate the uncomfortable conditions. The additional requirements of the car manufacturer and the need to optimise the air conditional controller results in a higher effort in software development and adaption to the specific vehicle. Facing the future requirements, Denso developed a non-linear control system based on the neural network technology. The current application of neural network which is used in some vehicle is described. As a result, it could improve thermal comfort of vehicles which is the main target to improve customers satisfaction. Beside of this main target it could reduce the man power for software development so it can concentrate more on improving the thermal feeling than in writing software. Furthermore, it was achieved to improve control ability and reduction in man-hours necessary for repeating the tests if characteristics were changed.


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    Title :

    Development of an automatic climate control with a neural network


    Contributors:
    Lautsch, A. (author) / Samukawa, K. (author)


    Publication date :

    2002


    Size :

    8 Seiten, 10 Bilder



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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