In a close collaboration between Borgward Group GmbH, Beiqi Foton Motor Co., LTD. and Fraunhofer ITWM, new design loads for light duty trucks in the People's Republic of China have been created based on a dedicated measurement campaign. This article describes the process of planning and conducting the campaign as well as the evaluation of the data including the derivation of load distributions for various groups of users and the mapping to the proving ground. A usage model for the truck has been generated using Monte-Carlo-simulations on the digital road map data. To calibrate that model, real track data from approximately 100 trucks has been analyzed. Geo-referenced load data analysis and statistical reasoning have been used to prepare the collected data for the derivation of load distributions for various usage scenarios in the target market “China” such as short distance cold chain transport, regional agricultural goods transport and others. Finally, proving ground schedules have been optimized to best meet the design loads taken as high quantiles from the load distributions. In addition, a model for the derivation of consumption cycles based on the measured data has been created and applied to generate new truck-specific cycles representing the expected average consumption during field usage.


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    Titel :

    Planning and conducting a measurement campaign and derivation of customer-specific load distributions for light duty trucks in China


    Weitere Titelangaben:

    Proceedings


    Beteiligte:
    Berns, Karsten (Herausgeber:in) / Dressler, Klaus (Herausgeber:in) / Kalmar, Ralf (Herausgeber:in) / Stephan, Nicole (Herausgeber:in) / Teutsch, Roman (Herausgeber:in) / Thul, Martin (Herausgeber:in) / Volmer, Markus (Autor:in) / Jicheng, Liu (Autor:in) / Shidong, Chen (Autor:in) / Siquan, He (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2021-04-18


    Format / Umfang :

    20 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch





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