In this paper we outlined a new approach for the comparison of different hybrid vehicle concepts, specifically including component dimensioning. The approach relies heavily on the use of appropriate simulation and optimization techniques. A first selection of hybrid vehicle concepts to consider is done via functional and criterion based classification methods. For each remaining hybrid vehicle concept we build up a simulation model that links vehicle parameters and design parameters of hybrid components like electric drive and battery to fuel economy and driving performance. Using evolutionary algorithms the best compromises between additional effort and benefit are computed for every remaining hybrid vehicle concept. These so called Pareto fronts contain information about benefit, additional effort and important design parameters for the hybrid components needed to realize a specific hybrid vehicle. The results of this methodology are put to use in multiple ways. Firstly they allow the comparison of different hybrid vehicle concepts while granting each concept the best possible component dimensioning. Secondly the component design for effort/benefit optimal hybridization is known and can be compared to existing components. Thirdly the deviation in terms of effort and benefit between the use of existing components and optimally dimensioned components can be easily assessed, thus delivering a means to decide which electric drive from our modular construction kit is best suited for the task at hand.


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    Title :

    Model based hybrid system design - basics and application


    Contributors:


    Publication date :

    2009


    Size :

    12 Seiten, 10 Bilder, 2 Tabellen, 5 Quellen


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English