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In this paper, a novel prediction approach for proton exchange membrane fuel cell (PEMFC) performance degradation is proposed based on a multi-physical aging model with particle filter approach. The proposed multi-physical aging model uses aging coefficients to describe fuel cell different physical aging phenomena over time, including membrane conductivity losses, reduction of reactants mass transfer...
In this paper, a robust model-based battery state of charge (SOC) estimating algorithm is proposed with a novel approach based on multi-models data fusion technique and particle filter (PF). The proposed method is particularly adapted for SOC estimation under conditions of sharp current variations and presence of measurement noise. In this innovative approach, multiple battery models have been used...
Battery state of charge (SOC) estimation is a key issue in battery management system (BMS) for ensuring reliable operation of electric vehicles (EV). This paper proposes a novel SOC estimation method based on iterated extended Kalman particle filter (IEKPF), the main characteristics of IEKPF are to generate the proposal distribution, an accurate approximation of the posterior probability density can...
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