The state of health (SOH) is an indicator to quantify aging level of a battery in terms of capacity fade and/or power fade. The SOH can be generally estimated by experimental and model‐based methods. This chapter considers all of these methods and their strengths and weaknesses for use in online battery management system (BMS) applications and discuss a potential and promising method to estimate the SOH in electric vehicle (EV) applications. The experimental methods monitor battery behaviors by analyzing the full cycle of experimental data of battery voltage, current, and temperature. Model‐based estimation methods can be further divided into adaptive state estimation methods and data‐driven methods. Generally, system parameters change slowly over time while system states are prone to change fast over time; a multi‐time scale adaptive extended Kalman filter (AEKF) algorithm is used to estimate the system parameters in the macro time scale and the system state in the micro time scale.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Battery State of Health Estimation


    Beteiligte:
    Xiong, Rui (Herausgeber:in) / Shen, Weixiang (Herausgeber:in)


    Erscheinungsdatum :

    2019-02-19


    Format / Umfang :

    36 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Battery pack health state estimation method

    GUO YANGDONG / SI HUACHAO / ZHANG GUIHAI | Europäisches Patentamt | 2020

    Freier Zugriff

    Battery health state estimation method, device and system

    WANG HAIQIU / ZHANG CAIQING / CHEN BAOGUO et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Online battery state of health estimation during charging

    KUOVO MIKKO / VATANEN HARRI / JUNTUNEN RAIMO | Europäisches Patentamt | 2024

    Freier Zugriff

    ONLINE BATTERY STATE OF HEALTH ESTIMATION DURING CHARGING

    KUOVO MIKKO / VATANEN HARRI / JUNTUNEN RAIMO | Europäisches Patentamt | 2022

    Freier Zugriff

    State-of-Health Online Estimation for Li-Ion Battery

    Hanning, Chen / Maowei, He / Xiaodan, Liang et al. | SAE Technical Papers | 2020