Sören Hohmann

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This paper considers a fractional modelbased identification method with the objective to determine the aging of a battery cell. The method avoids lumped approximations of the fractional operator.Moreoverwith this approach it is possible to identify physically motivated battery cell parameters. The basic idea is to transfer the derivatives from the(More)
A model of the driver’s lateral steering behavior is important for the design of a lateral steering assistance system, which performs the control task in cooperation with the driver. It is believed that humans realize their motions by combining elementary motion blocks so called “movemes”. Based on this theory and in contrast to state of the art driver(More)
This paper adresses the issue of modelling and identification of individual driver steering behaviour from a new point of view, incorporating the idea of human motion being built up by an individual and limited repertoire of learned patterns. We introduce a switched affine model structure to explain a measurable motion alphabet in the driving context and(More)
Several publications have shown that it is beneficial to design a driver assistance system using a shared control structure. For the steering task this structure can be realized with a setup in which driver and automation can apply a torque on the steering wheel in parallel. Thereby both, driver and assistance system, interact with the vehicle and each(More)
In this paper, an algebraic model-based approach for the identification of a battery’s distribution of relaxation times (DRT) is illustrated. The DRT is directly linked to physically interpretable parameters to determine the aging of a battery cell. The approach derives from Mikusiński’s operational calculus. Therefore a novel integration operator and the(More)