Article | Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 | Integration of complex Modelica-based physics models and discrete-time control systems: Approaches and observations of numerical performance Linköping University Electronic Press Conference Proceedings
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Title:
Integration of complex Modelica-based physics models and discrete-time control systems: Approaches and observations of numerical performance
Author:
Kai Wang: Ford Motor Company, USA Christopher Greiner: Ford Motor Company, USA John Batteh: Modelon, Inc., USA Lixiang Li: Modelon, Inc., USA
DOI:
10.3384/ecp17132527
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017
Issue:
132
Article no.:
059
Pages:
527-532
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2017-07-04
ISBN:
978-91-7685-575-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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As CAE simulations become more complex, the need for computational efficiency increases in order to provide timely solutions and analyses. One facet of this complexity is the integration of multiple software modeling tools and environments in order to utilize the most capable computational technologies for the different features of these complex system models. Physical plant models may be developed in Modelica and require variable step solvers to capture both fast and slow continuum dynamics while discrete time-based control systems may be developed in C-code or Simulink and require fixed time step solvers. Integrating these plant and control models into a single environment can result in computational inefficiencies due to conflicting solver time step requirements. This paper will discuss the integrated modeling of an automotive vapor compression air conditioning system and associated control systems over a dynamic drive cycle, and the associated numerical performance issues discovered, as well as some approaches taken to increase said performance.

Keywords: Modelica, discrete, variable, integration

Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Kai Wang, Christopher Greiner, John Batteh, Lixiang Li
Title:
Integration of complex Modelica-based physics models and discrete-time control systems: Approaches and observations of numerical performance
DOI:
http://dx.doi.org/10.3384/ecp17132527
References:

[1] T. Blochwitz:, M. Otter, M. Arnold, C. Bausch and H. Elmqvist, "The Functional Mockup Interface for Tool independent Exchange of Simulation Models," in Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy, Dresden; Germany, 2011.

[2] MathWorks. [Online]. Available: http://www.mathworks.com/help/simulink/ug/modelingdynamic-systems.html?refresh=true.

Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Kai Wang, Christopher Greiner, John Batteh, Lixiang Li
Title:
Integration of complex Modelica-based physics models and discrete-time control systems: Approaches and observations of numerical performance
DOI:
https://doi.org10.3384/ecp17132527
Note: the following are taken directly from CrossRef
Citations:
  • Lei Feng, Jan Wikande & Zhiwu Li (2020). Fuel Minimization of the Electric Engine Cooling System With Active Grille Shutter by Iterative Quadratic Programming. IEEE Transactions on Vehicular Technology, 69(3): 2621. DOI: 10.1109/TVT.2019.2962866


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