Modeling of lithium-ion cells is a key task in the development of a battery management system to achieve battery pack safety and reliable operation. Electrochemical-based approaches enable modeling of internal electrochemical processes within the lithium-ion cell. Several reduced-order electrochemical-based modeling approaches amenable for online battery state estimation are reviewed in this paper. In particular, aging effects such as the solid-electrolyte interface layer growth is modeled. The single-particle-model (SPM) method is extended using the following novelties: 1) numerical solution of the diffusion equation in the solid phase; 2) sensitivity on the numerical solution accuracy considering the number of shell partitions; 3) a new parameterization method that identifies pertinent parameters; 4) state-of-charge and state-of-health estimation algorithms based on hybrid SPM (HSPM); and 5) validations of SPMand HSPM-based estimation algorithms using drive cycle data.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    On the Suitability of Electrochemical-Based Modeling for Lithium-Ion Batteries


    Beteiligte:
    Ran Gu (Autor:in) / Malysz, Pawel (Autor:in) / Hong Yang (Autor:in) / Emadi, Ali (Autor:in)


    Erscheinungsdatum :

    01.12.2016


    Format / Umfang :

    4171856 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Electrochemical modeling of lithium polymer batteries

    Dees, Dennis W. | Online Contents | 2002


    Electrochemical modeling in the context of production of Lithium-based batteries

    Laue, Vincent / Technische Universität Braunschweig / Logos Verlag Berlin | TIBKAT | 2021




    Lithium Batteries and other Electrochemical Storage Systems

    Glaize, Christian / Genies, Sylvie | TIBKAT | 2013