Equivalent circuit battery models can cooperate with electric vehicle models well at a system level, and can reduce largely complexity compared with electrochemical models. The equivalent circuit with more RC branches has a higher accuracy but also higher complexity. Traditional parameter estimation tools rely heavily on hardware and software. This research aims to come up with a lightweight parameter estimation algorithm however to guarantee the accuracy of the third-order equivalent circuit. It proves that the algorithm has a reliable result for the energy storage system simulation and SOC estimation. The mean residual error achieves to 0.06% or 1.98 mV, which can meet basically the engineering requirements.


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    Titel :

    Lightweight Parameter Estimation for the Third-Order Lithium-Ion Battery Model Based on Non-iterative Algorithm


    Beteiligte:
    Xie, Feng (Autor:in) / Czogalla, Olaf (Autor:in)


    Erscheinungsdatum :

    2020-06-01


    Format / Umfang :

    947133 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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