This article presents a control strategy for drive-train oscillations induced by driving force variation during heavy acceleration processes. The main advance of this approach is the early detection of an impending oscillation from the beginning of the acceleration. The main challenge is the absence of evaluable vehicle sensor signals at standstill. The algorithm therefore relies on a physical model. In conjunction with an interpretation of the driver’s input, the algorithm is able to predict the vehicle state in a certain time frame. In the first part, the physical model, which is used to adequately describe the phenomenon, is introduced. In the following, a comparison between measurements and simulation is given to illustrate the model quality. Finally, the effectiveness of the new approach is demonstrated on the basis of real driving manoeuvres.     «

This article presents a control strategy for drive-train oscillations induced by driving force variation during heavy acceleration processes. The main advance of this approach is the early detection of an impending oscillation from the beginning of the acceleration. The main challenge is the absence of evaluable vehicle sensor signals at standstill. The algorithm therefore relies on a physical model. In conjunction with an interpretation of the driver’s input, the algorithm is able to predict th...     »