Parameter extraction of battery models using multiobjective optimization genetic algorithms

P Kumar, P Bauer

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    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 languageEnglish
    Title of host publication2010 14th International Power Electronics and Motion Control Conference
    EditorsS Mircevski, D Boroyevich
    Place of PublicationOhrid, Macedonia
    PublisherIEEE Society
    Pages106-110
    Number of pages5
    ISBN (Print)978-1-4244-7856-9
    DOIs
    Publication statusPublished - 2010
    EventEPE-PEMC 2010, IEEE 14th International Power Electronics and Motion Control Conference, Ohrid, Macedonia - Ohrid, Macedonia
    Duration: 6 Sep 20108 Sep 2010

    Publication series

    Name
    PublisherIEEE

    Conference

    ConferenceEPE-PEMC 2010, IEEE 14th International Power Electronics and Motion Control Conference, Ohrid, Macedonia
    Period6/09/108/09/10

    Keywords

    • conference contrib. refereed
    • Conf.proc. > 3 pag

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