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Robust design optimization for improving automotive shift quality
Abstract Already in the design process of automatic transmissions, robustness should be considered as important design goal to assure high shift quality and reliability in the presence of environmental, operating or manufacturing uncertainties. Beside the implementation of adaption algorithms for clutch control, this may also be achieved by using robust design strategies. By such a procedure, mean values for best mean shift quality, and variances for highest robustness against change of system parameters are minimized simultaneously. In the paper, such an approach is developed for transmission calibration. Comparison with a deterministically found design shows improved performance and validates the eligibility of the proposed design strategy.
Robust design optimization for improving automotive shift quality
Abstract Already in the design process of automatic transmissions, robustness should be considered as important design goal to assure high shift quality and reliability in the presence of environmental, operating or manufacturing uncertainties. Beside the implementation of adaption algorithms for clutch control, this may also be achieved by using robust design strategies. By such a procedure, mean values for best mean shift quality, and variances for highest robustness against change of system parameters are minimized simultaneously. In the paper, such an approach is developed for transmission calibration. Comparison with a deterministically found design shows improved performance and validates the eligibility of the proposed design strategy.
Robust design optimization for improving automotive shift quality
Wurm, Andreas (Autor:in) / Bestle, Dieter (Autor:in)
2015
Aufsatz (Zeitschrift)
Englisch
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