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.


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    Title :

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


    Contributors:
    Ran Gu (author) / Malysz, Pawel (author) / Hong Yang (author) / Emadi, Ali (author)


    Publication date :

    2016-12-01


    Size :

    4171856 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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