Konferensartikel

Variable Structure Modeling for Vehicle Refrigeration Applications

Imke Krüger
Hamburg University of Technology, Department of Technical Thermodynamics, Hamburg, Germany/TU Berlin, Department of Software Engineering and Theoretical Computer Science, Berlin, Germany

Alexandra Mehlhase
Hamburg University of Technology, Department of Technical Thermodynamics, Hamburg, Germany/TU Berlin, Department of Software Engineering and Theoretical Computer Science, Berlin, Germany

Gerhard Schmitz
Hamburg University of Technology, Department of Technical Thermodynamics, Hamburg, Germany/TU Berlin, Department of Software Engineering and Theoretical Computer Science, Berlin, Germany

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp12076927

Ingår i: Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Linköping Electronic Conference Proceedings 76:96, s. 927-934

Visa mer +

Publicerad: 2012-11-19

ISBN: 978-91-7519-826-2

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

A variable-structure approach for Modelica models is presented in this paper. Variable structure models enable the user to change the simulation model during runtime. This is not supported by common simulation environments and thus a Matlab script is used to control the run of the simulation. The script switches between the different models and sets the initial values to ensure smooth transients of the variables. The method is applied to a model of a thermal management system for Lithium ion batteries in a hybrid vehicle. In this model some components don not need to be calculated through the complete simulation time and are removed from the model through the variable-structure approach. With this approach the simulation time can be reduces while the simulation accuracy is not affected negatively

Nyckelord

li-ion batteries; compression cycle; simulation speed; thermal management; variable-structure model

Referenser

[1] Krüger;I. Energy Consumption Of Battery Cooling In Hybrid Electric Vehicles. In: Proceedings of 14th International Refrigeration and Air Conditioning Conference; Purdue; USA; 16-19 July 2012 (to be published).

[2] Mehlhase A. Varying the level of detail during simulation. In: Proceedings of ASIM 2011; Symposium Simulationstechnik; Winterthur; Swiss; 7-9 September 2011.

[3] Zimmer D. Equation-Based Modeling of Variable-Structure Systems. Ph.D. thesis; Swiss Federal Institute of Technology; 2010.

[4] Nytsch-Geusen; C.; Ernst; T.; Nordwig; A.; and et al. (2005). Mosilab: Development of a modelica based generic simulation tool supporting model structural dynamics. In: G. Schmitz (ed.); Proceedings of the 4th International Modelica Conference; Hamburg; March 7-8; 2005.

[5] Nilsson; H.; Giorgidze; G. (2010). Exploiting structural dynamism in Functional Hybrid Modelling for simulation of ideal diodes. In: Proceedings of the 7th EUROSIM Congress on Modelling and Simulation. Czech Technical University Publishing House; Prague; Czech Republic; 2010.

[6] Tummescheid; H.; Eborn; J.; Prölß; K.; AirConditioning - a Modelica library for dynamic simulation of AC systems; In: G. Schmitz (ed.); Proceedings of the 4th International Modelica Conference; Hamburg; March 7-8; 2005. vol. 1; p. 185-192.

[7] Pfafferoth; T.; Schmitz; G.; Modeling and transient simulation of CO2-refrigeration systems with Modelica; International Journal of Refrigeration; 2004; Vol. 24; no. 1; p.42-52. doi: 10.1016/S0140-7007(03)00098-7.

Citeringar i Crossref