TY - THES AU - Krause, Matthias Günter TI - Objektivierte automatisierte Fahrbarkeitsapplikation mittels Design of Experiment PB - Rheinisch-Westfälische Technische Hochschule Aachen VL - Dissertation CY - Aachen M1 - RWTH-2023-12280 SP - 1 Online-Ressource : Illustrationen PY - 2023 N1 - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2024 N1 - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023 AB - The thesis explores a methodology for objectified and automated drivability calibration. Initially a generalized approach for the development of key performance indices is introduced. On this foundation respective candidates for characteristic values can be systematically identified, refined, and validated by means of statistical methods, in order to derive a set of objective criteria, that fully describes the observed behavior of the driving scenario. For the investigated domain of drivability calibration, the maneuver of tip-in is exemplarily handled in detail. An essential basis of the approach is extensive automation. In the cases examined, additional hardware such as driving robots or pedal actuators are completely avoided. Instead, the partially and fully automated execution of driving maneuvers and entire calibration tasks is realized on the basis of software via remote control of the calibration tool. Based on objectification and automation, it is shown how the well structured test bench calibration methods, based on Design of Experiment (DoE), can be consistently transferred to the work in the vehicle. By means of adapted description of the test space, global modeling with Gaussian process models as well as special formulation of optimization targets in the space of subjective evaluation variables (expressed as functions of the objective criteria), considerable potential for savings in time and cost opens up for the calibration of vehicles. The thesis contributes to a more efficient working procedure in the future work in this area and thus to move the global process of calibration some steps into the direction of an optimum. LB - PUB:(DE-HGF)11 DO - DOI:10.18154/RWTH-2023-12280 UR - https://publications.rwth-aachen.de/record/975957 ER -