Prévision de la disponibilité énergétique des accumulateurs électrochimiques par estimation d'Etats d'Energie (SoE)

Abstract : Within a context of an increasing resort to intermittent renewable energy sources, the range of electrochemical storage devices is spreading and branching out to ensure a match between these intermittent sources and their applications. The design and real-time control of these storage devices require a model of their operating available energy. The electrochemical storage devices have non-linear energetic behavior, which depends on the operating conditions. This non-linearity makes the global modeling more complex. Up to now, the available energy is modeled with a state of charge (SoC) estimator, coupled with a model of the battery voltage. The interfacing of these models with other components of a system is often difficult because of the nature of the control variables. Moreover, in real time, these models can not be exploited efficiently to make forecasts of the available energy in various operating conditions. The energetic approach used here allowed us to identify a new estimator, the energy state (SoE) and to develop a direct model of the available energy for various operating conditions, without resorting to double SoC and battery voltage modeling. The SoE has been used to characterize the energy performance of lead-acid and lithium-ion batteries. For the latter, the accuracy in predicting the available energy has been estimated from several power profiles.
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Kelli Mamadou. Prévision de la disponibilité énergétique des accumulateurs électrochimiques par estimation d'Etats d'Energie (SoE). Energie électrique. Institut National Polytechnique de Grenoble - INPG, 2010. Français. ⟨tel-00725621⟩

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