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Chair of Electronic Measurement and
Diagnostic Technology

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Publications from the Chair of Electronic Measurement and Diagnostic Technology

Comparison of different model types based on a synchronization of an automated manual transmission
Citation key Nowoisky_2012
Author Sebastian Nowoisky and René Knoblich and Clemens Gühmann
Title of Book Simulation und Test für die Automobilelektronik IV
Pages 38...47
Year 2012
ISBN 978-3-8169-3121-8
Address Wankelstraße 13 D-71272 Renningen
Editor Clemens Gühmann and Jens Riese and Thieß-Magnus Wolter
Publisher Expert Verlag
Abstract The challenge for automotive software developers is the increasing number of different types of cars in combination with reduced development time [1]. Additionally, software functions for automotive applications are developed by international project teams. The only chance to develop complex software systems is the use of the model based V-development process [2,3,4,5]. In this paper, different approaches for modeling a synchronization of an automated manual transmission (AMT) are presented and compared. The synchronization has a crucial influence on the shifting process and the driving comfort in passenger cars. With complex software functions, the shift process could be adapted to customer's driving requests. The gear shifting process can be characterized by different phases, each influencing the powertrain behavior in a certain way. Due to the synchronization structure, temperature effects, manufacturing tolerances, wear-dependent parameters and various non-linear phenomena, it is difficult to develop a cruise adapted closed-loop control. The modeling of technical systems like a synchronization based on the physical equations is time consuming and a complete reproduction of the dynamic behavior is difficult or even impossible. Alternatively, measurement data can be used to develop data based models [6]. The selection of the right data based model type is a key factor for generating appropriate results [7]. Good model scalability, usability, short simulation times combined with small model errors are the main targets when developing dynamic simulation models.
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