The increase in the popularity of sports utility vehicles (SUVs) and accidents resulting in those trucks rolling over, has caused researchers to actively seek ways to reduce vehicle rollover propensity in order to increase occupant safety. Thus far, research for active roll control has mainly focused on two areas: rollover detection systems and anti-rollover systems. Based on various signals such as vehicle roll angle, roll acceleration, and lateral acceleration, the rollover detection system inputs this data into an algorithm with determined thresholds. The importance of accurately predicting an impending rollover has prompted the discovery of a number of prediction methods that have been introduced in recent years. It is well understood that driver's steering input strongly affects lateral vehicle dynamics and excessive steering command may result in unstable vehicle motion. In a certain driving condition, it is possible for a skilled driver to prevent vehicle rollover with better perceptive capability of judging conditions and responding faster with smooth compensatory actions. This paper investigates the possibility of using active steering and wheel torque control to assist drivers in avoiding vehicle rollovers in emergency situations. The effectiveness of steering control alone and combination of steering/wheel torque control in recovery from unstable vehicle roll condition was demonstrated through simulation of both low and high vehicle speeds. The simulation response of active steering control showed that it is effective in decreasing the number of low speed tripped rollovers and high speed maneuver-induced rollovers that fail to reach large yaw angles and therefore are not effectively avoided by current DYC and active steer concepts.


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    Title :

    Investigation of active steering/wheel torque control at the rollover limit maneuver


    Additional title:

    Untersuchung der Kombination aktives Lenkrad/Rad-Drehmomentregelung beim Überschlagbegrenzungsmanöver


    Contributors:


    Publication date :

    2004


    Size :

    8 Seiten, 13 Bilder, 1 Tabelle, 15 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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