Battery Aging, Battery Charging and the Kinetic Battery Model: A First Exploration

Marijn R. Jongerden, Boudewijn R. Haverkort

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    13 Citations (Scopus)
    27 Downloads (Pure)


    Rechargeable batteries are omnipresent and will be used more and more, for instance for wearables devices, electric vehicles or domestic energy storage. However, batteries can deliver power only for a limited time span. They slowly degrade with every charge-discharge cycle. This degradation needs to be taken into account when considering the battery in long lasting applications. Some detailed models that describe battery degradation processes do exist, however, these are complex models and require detailed knowledge of many (physical) parameters. Furthermore, these models are in general computationally intensive, thus rendering them less suitable for use in larger system-wide models. A model better suited for this purpose is the so-called Kinetic Battery Model. In this paper, we explore how this model could be enhanced to also cope with battery degradation, and with charging. Up till now, battery degradation nor battery charging has been addressed in this context. Using an experimental set-up, we explore how the KiBaM can be used and extended for these purposes as well, thus allowing for better integrated modeling studies.
    Original languageEnglish
    Title of host publicationQuantitative Evaluation of Systems
    Subtitle of host publication14th International Conference, QEST 2017, Berlin, Germany, September 5-7, 2017, Proceedings
    EditorsNathalie Bertrand, Luca Bortolussi
    Place of PublicationCham
    Number of pages16
    ISBN (Electronic)978-3-319-66335-7
    ISBN (Print)978-3-319-66334-0
    Publication statusPublished - 11 Aug 2017
    Event14th International Conference on Quantitative Evaluation of Systems, QEST 2017 - Berlin, Germany
    Duration: 5 Sept 20177 Sept 2017
    Conference number: 14

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference14th International Conference on Quantitative Evaluation of Systems, QEST 2017
    Abbreviated titleQEST
    Internet address


    • Kinetic Battery Model
    • battery aging
    • battery charging
    • battery discharging
    • Measurement


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