Imbalance between state of charge (SoC) of cells in battery packs can cause numerous issues, including reduction of usable capacity level, degradation of performance, and shortening of lifetime. Successful approaches to mitigate such issues employ cell balancing techniques. Building on our preliminary results, in this paper, we expand our novel cell balancing technique to larger battery packs to investigate scalability aspects and to explore additional machine learning (ML) models that we employ in the proposed cell balancing algorithm. More specifically, we adopt a divide-and-conquer approach, in which the battery pack is divided into smaller partitions to which we apply the proposed ML based cell balancing. Extensive simulation experiments conducted on a 24 cells battery pack demonstrate good scalability and improved battery runtime achieved with the proposed balancing approach.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Smart Reconfigurable Battery Packs with Scalable AI Based Cell Balancing


    Contributors:


    Publication date :

    2024-06-19


    Size :

    5679209 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    HYBRID CELL BALANCING FOR HIGH VOLTAGE BATTERY PACKS

    HUDSON ANDREW / MOZIP FAROUQ / DEMARCO JOHN ANTHONY et al. | European Patent Office | 2021

    Free access

    USER-SCALABLE POWER UNIT INCLUDING REMOVABLE BATTERY PACKS

    ZEILER JEFFREY / KOENEN ROBERT JOHN / SCHMALZ JACOB et al. | European Patent Office | 2023

    Free access

    USER-SCALABLE POWER UNIT INCLUDING REMOVABLE BATTERY PACKS

    ZEILER JEFFREY / KOENEN ROBERT JOHN / SCHMALZ JACOB et al. | European Patent Office | 2021

    Free access

    User-scalable power unit including removable battery packs

    ZEILER JEFFREY / KOENEN ROBERT JOHN / SCHMALZ JACOB et al. | European Patent Office | 2023

    Free access

    A new cell balancing architecture for Li-ion battery packs based on cell redundancy

    Manenti, Antonio / Abba, Andrea / Geraci, Angelo et al. | Tema Archive | 2011