Parameter extraction of battery models using Multiobjective Optimization genetic algorithms

Praveen Kumar; Pavol Bauer

doi:10.1109/EPEPEMC.2010.5606653

Parameter extraction of battery models using Multiobjective Optimization genetic algorithms

Praveen Kumar, Pavol Bauer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

34 Scopus citations

Abstract

To simulate electric vehicles, appropriate battery models are required. In this work a model of the battery and a methodology for determining the parameters of a battery model using the catalog data of the batteries and Multiobjective Optimization is proposed. The technique is applied to different battery types and the results are presented.

Original language	English
Title of host publication	Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference
Pages	T9106-T9110
DOIs	https://doi.org/10.1109/EPEPEMC.2010.5606653
State	Published - 2010
Externally published	Yes
Event	14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010 - Ohrid, Macedonia, The Former Yugoslav Republic of Duration: Sep 6 2010 → Sep 8 2010

Publication series

Name	Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference

Conference

Conference	14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010
Country/Territory	Macedonia, The Former Yugoslav Republic of
City	Ohrid
Period	09/6/10 → 09/8/10

Keywords

Batteries
Battery models
Electric vehicle
Multiobjective Optimization
Parameter extraction

Access to Document

10.1109/EPEPEMC.2010.5606653

Cite this

Kumar, P., & Bauer, P. (2010). Parameter extraction of battery models using Multiobjective Optimization genetic algorithms. In Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference (pp. T9106-T9110). Article 5606653 (Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference). https://doi.org/10.1109/EPEPEMC.2010.5606653

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title = "Parameter extraction of battery models using Multiobjective Optimization genetic algorithms",

abstract = "To simulate electric vehicles, appropriate battery models are required. In this work a model of the battery and a methodology for determining the parameters of a battery model using the catalog data of the batteries and Multiobjective Optimization is proposed. The technique is applied to different battery types and the results are presented.",

keywords = "Batteries, Battery models, Electric vehicle, Multiobjective Optimization, Parameter extraction",

author = "Praveen Kumar and Pavol Bauer",

year = "2010",

doi = "10.1109/EPEPEMC.2010.5606653",

language = "English",

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note = "14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010 ; Conference date: 06-09-2010 Through 08-09-2010",

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Kumar, P & Bauer, P 2010, Parameter extraction of battery models using Multiobjective Optimization genetic algorithms. in Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference., 5606653, Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference, pp. T9106-T9110, 14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010, Ohrid, Macedonia, The Former Yugoslav Republic of, 09/6/10. https://doi.org/10.1109/EPEPEMC.2010.5606653

Parameter extraction of battery models using Multiobjective Optimization genetic algorithms. / Kumar, Praveen; Bauer, Pavol.
Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference. 2010. p. T9106-T9110 5606653 (Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Bauer, Pavol

PY - 2010

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N2 - To simulate electric vehicles, appropriate battery models are required. In this work a model of the battery and a methodology for determining the parameters of a battery model using the catalog data of the batteries and Multiobjective Optimization is proposed. The technique is applied to different battery types and the results are presented.

AB - To simulate electric vehicles, appropriate battery models are required. In this work a model of the battery and a methodology for determining the parameters of a battery model using the catalog data of the batteries and Multiobjective Optimization is proposed. The technique is applied to different battery types and the results are presented.

KW - Batteries

KW - Battery models

KW - Electric vehicle

KW - Multiobjective Optimization

KW - Parameter extraction

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T2 - 14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010

Y2 - 6 September 2010 through 8 September 2010

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Kumar P, Bauer P. Parameter extraction of battery models using Multiobjective Optimization genetic algorithms. In Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference. 2010. p. T9106-T9110. 5606653. (Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference). doi: 10.1109/EPEPEMC.2010.5606653

Parameter extraction of battery models using Multiobjective Optimization genetic algorithms

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Keywords

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