Abstract
This paper proposes a robust end-of-discharge prognosis procedure for the battery system of electric vehicles. As the state-of-charge of the battery system is dependent on an unmeasurable state of the vehicle lateral dynamics, which is modelled as a linear parameter varying system with bounded uncertainties, a zonotope-based state estimation and propagation is presented to estimate and predict the unknown state. In the meanwhile, the prediction of state-of-charge is performed until it reaches a given threshold, which determines the end-of-discharge and remaining-useful-life interval prediction results. Finally, a simulation example based on an electric vehicle is employed to illustrate the effectiveness of the proposed approach.
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