A computer-implemented method for establishing a trained state of health (SOH) estimation model, the method comprising: acquiring a voltage vs. capacity (QV) data of a training battery at a first SOH within a predetermined voltage range during a charging cycle; obtaining an incremental capacity (IC) data based on at least the acquired QV data; extracting an ICA area and an ICA peak from the IC data; inputting the extracted ICA area and the ICA peak into an ICA database; repeating the acquiring, the obtaining, the extracting, and the inputting processes on the training battery at one or more additional SOHs; and establishing the trained SOH estimation model by training and testing a base SOH estimation model based on at least the ICA database using Support Vector Regression; wherein the trained SOH estimation model is configured to be used by a battery management system to monitor the health of a battery.


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    Title :

    Methods and devices for determining battery state of health using incremental capacity analysis and support vector regression


    Contributors:
    FAN GUODONG (author)

    Publication date :

    2024-10-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    H02J CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER , Schaltungsanordnungen oder Systeme für die Abgabe oder Verteilung elektrischer Leistung / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G01R Messen elektrischer Größen , MEASURING ELECTRIC VARIABLES