During the preliminary design phase, the car body is to be optimized. The demands on the car body are formulated by numerous performance constraints. At the beginning of an optimization procedure, often one or more design drafts are available. These designs are being parameterized and by this become utilizable for parameter optimization. In this example, the design space is described by an average of 1500 design variables. We have to find out, whether there exist any competitive car concepts in the design space that lie beyond known car concepts or load paths. In this case, the optimization task does not only consist of an optimization of known car concepts, but includes the search for alternative vehicle concepts. In the here presented example, the search for reliable vehicle dimensioning has been successful thanks to special sampling strategies followed by genetic optimization algorithms. Subsequently, it has been investigated via cluster analyses whether there are vehicle concepts representing alternative complete vehicle concepts and appropriate starting points for local optimization were determined. For selected designs, up to twenty clusters have been searched for weight optimal variants via mathematical optimization. Due to the combination of genetic strategies for the search for admissible vehicle dimensioning and mathematical optimization for weight optimization, the weight could be significantly further reduced then by mathematical optimization strategies only.


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    Title :

    Suche nach alternativen Gesamtfahrzeugkonzepten mit OptiSLang


    Contributors:


    Publication date :

    2004


    Size :

    13 Seiten, 14 Bilder, 2 Tabellen, 3 Quellen


    Remarks:

    (nicht paginiert)


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    German