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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Xie, Feng (author) / Czogalla, Olaf (author)


    Publication date :

    2020-06-01


    Size :

    947133 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vehicle-mounted lithium battery online parameter estimation algorithm based on fractional order model

    JI YAN / HU CHONG / MA GUANGMING | European Patent Office | 2023

    Free access


    Model Based Vehicle Localization via an Iterative Parameter Estimation

    Fazekas, Máte / Németh, Balázs / Gáspár, Péter | TIBKAT | 2020


    Model Based Vehicle Localization via an Iterative Parameter Estimation

    Fazekas, Máté / Németh, Balázs / Gáspár, Péter | Springer Verlag | 2020


    Frequency based battery model parameter estimation

    LEE TAE-KYUNG | European Patent Office | 2015

    Free access