A worst-case vehicle evaluation methodology has been successfully applied to generate extreme input excitations. Worst-case inputs are important because they are necessary to assess performance of vehicles or active-safety vehicle control systems. In this paper, two design examples were presented. In the truck example, it was found that the truck can roll over at a much reduced steering level if the brake pressure switches at a ill-timing. Preliminary sensitivity analysis and optimal design results show that the worst-case method could serve as the enabling technique for improved vehicle design or objective vehicle limit-performance assessment. In the AYC evaluation example, it was found that an AYC could behave extremely well under standard evaluation maneuvers (step steering, double lane change, brake in a J-turn) but can fail miserably under an identified worst-case maneuver at similar input levels. Currently, the authors are exploring the possibility of integrating the worst-case methodology with an iterative AYC design process.


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    Title :

    Worst-case vehicle evaluation methodology - examples on truck rollover/jackknifing and active yaw control systems


    Additional title:

    Identifizierung von Worst-Case-Anregungssignalen zur Abschätzung von Fahrzeugeigenschaften in Extremsituationen


    Contributors:
    Ma, W. (author) / Peng, H. (author)


    Publication date :

    1998


    Size :

    7 Seiten, 15 Bilder, 2 Tabellen, 16 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English