This paper investigates the problem of state-of-charge recalibration during vehicle key-off mode from battery current, voltage and temperature measurements. A quiescent voltage battery model is formalized and two different observers are proposed; that is, a multiple model adaptive estimator and an unscented Kalman filter. Both approaches are capable of robust quiescent voltage estimation in a computationally inexpensive way. The performance of the observers is numerically quantified by exhaustive simulations within application-relevant boundary conditions.


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    Title :

    Model-based state-of-charge recalibration of lead–acid batteries in automotive applications


    Contributors:


    Publication date :

    2012-12-01


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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