Accurate state-of-charge (SoC) estimation of lithium-ion batteries has always been a challenge over a wide life scale. In this article, we proposed an SoC estimation method considering Coulomb efficiency (CE) and capacity decay. Health factors are extracted from a simplified electrochemical model and show a good correlation with capacity and CE. The life-cycle data from six batteries are used to train the capacity and CE models, and those of the other two ones are estimated at different aging cycles. The mean absolute errors (MAEs) of the capacity and CE estimates are not more than 0.1 Ah and 0.25%, respectively. Furthermore, the life-cycle SoC estimation results are compared in four cases regarding whether to update the capacity or CE. The results show that the capacity update can significantly improve the accuracy of SoC estimation, and the additional CE update makes the accuracy even higher on a small scale. The MAEs of SoC estimation are no more than 1% at different aging cycles when both are updated.


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    Title :

    Life-Cycle State-of-Charge Estimation for Lithium-Ion Battery Considering Coulomb Efficiency and Capacity Decay


    Contributors:


    Publication date :

    2025-04-01


    Size :

    3614762 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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