The veracity of a battery model and SOC estimation has a profound impact on the control strategy of a vehicle management system and electric vehicle performance, which is critical for efficient battery management and increasing vehicle reliability. The intent of this project is to extend battery longevity through cell balancing, which is instrumental in preserving battery life. This paper examines the merits and drawbacks of various SOC estimation techniques, as well as the principles, analysis of battery pack in MATLAB/ Simulink, implementation of Coulomb Counting Method and research progress of $\text{SoC}$ estimation algorithms and passive cell balancing, with the goal of providing references for future researchers.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Passive Cell Equalization & State of Charge Estimation Using Coulomb Counting Approach


    Contributors:


    Publication date :

    2023-12-12


    Size :

    631840 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Lithium-ion battery state of charge estimation using improved coulomb counting method with adaptive error correction

    Wu, King Hang / Seyedmahmoudian, Mehdi / Mekhilef, Saad et al. | SAGE Publications | 2025



    Active Cell Balancing and SOC Estimation Using Coulomb Counting in Python

    Kulkarni, Aditi / Shinde, Akshay / Ankushe, Rahul et al. | IEEE | 2023


    Lithium ion battery charge state estimation and equalization control method

    QIAO JIAWEI / CAO JIANWEN / BAO WENLIANG et al. | European Patent Office | 2024

    Free access