Article | Proceedings of the 10<sup>th</sup> International Modelica Conference; March 10-12; 2014; Lund; Sweden | A Modelica Based Lithium Ion Battery Model Link�ping University Electronic Press Conference Proceedings
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Title:
A Modelica Based Lithium Ion Battery Model
Author:
Johannes Gerl: Modelon GmbH, München, Germany Leonard Janczyk: Modelon GmbH, München, Germany Imke Krüger: Modelon GmbH, München, Germany Nils Modrow: Modelon GmbH, München, Germany
DOI:
10.3384/ecp14096335
Download:
Full text (pdf)
Year:
2014
Conference:
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Issue:
096
Article no.:
035
Pages:
335-341
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2014-03-10
ISBN:
978-91-7519-380-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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The initial integration of a large scale battery system in existing end products like cars is usually of experimental nature. So are the simulation models supporting its design process. In the following a comprehensive Modelica model is introduced for the simulative description of the physical behavior of lithium ion battery cells packs for relevant aspects and use cases. It is part of the Modelon Battery Library; a commercial Modelica library to model battery cells and packs of various types; shape and grouping.

Thermal behavior; electrical behavior and the impact of the degradation due to aging are considered as they influence each other.

The model parameters to calculate the electrical behavior are to be derived from measurements; an optimization algorithm to obtain them is integrated in the package using the Optimization Library. Functions to validate the model against these measurements are included as well.

As an application example the simulation of an energetic energy storage system in the model of a battery electrical vehicle is shown.

Keywords: Battery model; lithium-ion; behavioral modeling; electrical vehicle

Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Johannes Gerl, Leonard Janczyk, Imke Krüger, Nils Modrow
Title:
A Modelica Based Lithium Ion Battery Model
DOI:
http://dx.doi.org/10.3384/ecp14096335
References:

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[5] M. Ecker et al. Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data. In: Journal of Power Sources, Vol. 215, pp. 248 - 257, 2012.

[6] Robyn A. Jackey, Gregory L. Plett and Martin J. Klein. Parameterization of a Battery Simulation Model Using Numerical Optimization Methods. In: SAE Technical Paper 2009-01-1381, 2009.

[7] Tarum Huria, Massimo Ceraolo, Javier Gazzarri and Robyn Jackey. High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells. In: Electric Vehicle Conference (IEVC), 2012 IEEE International, March 2012.

[8] Robyn Jackey, Michael Saginaw, Pravesh Sanghvi, Javier Gazzarri, Tarum Huria, and Massimo Ceraolo. Battery Model Parameter Estimation Using a Layered Technique: An Example Using a Lithium Iron Phosphate Cell: In: SAE International Technical Paper 2013-01-1547, 2013.

[9] M. Doyle, T. F. Fuller, and J. Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical Society, vol. 140, no. 6, pp. 1526 – 1533, 1993.

[10] Andreas Pfeiffer. Optimization Library for Interactive Multi-Criteria Optimization Tasks. In: 9th International Modelica Conference, September 2012.

Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Johannes Gerl, Leonard Janczyk, Imke Krüger, Nils Modrow
Title:
A Modelica Based Lithium Ion Battery Model
DOI:
http://dx.doi.org/10.3384/ecp14096335
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