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  4. Automatic solver selection and solution for CPU based automotive HIL simulations with small step size requirements
 
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Automatic solver selection and solution for CPU based automotive HIL simulations with small step size requirements

Publikationstyp
Conference Paper
Date Issued
2021-02
Sprache
English
Author(s)
Kähler, Dennis  
Harms, Julius 
Kern, Thorsten Alexander  orcid-logo
Institut
Mechatronik im Maschinenbau M-4  
TORE-URI
http://hdl.handle.net/11420/9402
First published in
GMM-Fachbericht  
Number in series
98
Citation
International Conference and Exhibition on New Actuator Systems and Applications : GMM conference (Actuator 2021)
Contribution to Conference
ACTUATOR 2021, International Conference and Exhibition on New Actuator Systems and Applications 2021, GMM Conference  
Publisher Link
https://ieeexplore.ieee.org/abstract/document/9400615
Scopus ID
2-s2.0-85117709421
Publisher
VDE Verlag GmbH
Is Part Of
isbn:978-3-8007-5454-0
More and more electronic control units (ECU) are being integrated in the rapidly evolving automotive industry. In order to simplify and shorten the testing of ECU algorithms, hardware-in-the-loop (HIL) testing is becoming increasingly popular in the industry. For several applications common CPU based high level simulation software is not able to achieve a suitable temporal resolution in real-time. This paper presents an easy to use model representation with an integrated automatic solver selection. Therefore it is possible to simulate models with ideal solver and step size. The selection algorithm uses an automatic parameter-dependent model and run time analysis and can also be applied to non-linear differential algebraic equation systems with switching conditions by local linearization of the complete state space. In an existing automotive HIL-simulation the presented procedure was proven to allow an easy implementation of multi-state, nonlinear, non-continuous, ordinary differential algebraic equation systems. With the implementation in C++ a step size of up to 5 microseconds von a low power compact computer could be achieved.
DDC Class
600: Technik
620: Ingenieurwissenschaften
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