Battery management systems (BMS) in hybrid electric vehicles (HEVs) should be able to online estimate the present State of Charge (SOC) of the battery pack accurately. In this paper, we proposed a SOC estimating method for battery packs based on the well-known extended Kalman filter (EKF). The underlying dynamic behavior of the battery pack was described by a model which was based on an equivalent circuit comprising of two capacitors and three resistors. Measurements of current and voltage in two different tests were applied to validate the proposed method. By comparing the SOC estimated by model based EKF to the SOC estimated by coulomb counting, we got the results showing that the methodologies we proposed were able to perform a good estimation of SOC of the battery pack. Moreover, a corresponding BMS including hardware and software based on our estimating method was designed.


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    Title :

    Online SOC Estimation of High-power Lithium-ion Batteries Used on HEVs


    Contributors:
    Dai, Haifeng (author) / Sun, Zechang (author) / Wei, Xuezhe (author)


    Publication date :

    2006-12-01


    Size :

    4234355 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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