Titre : Low-dimensional observer design with robust convergence guarantees for lithium-ion batteries: from a single cell to multiple cells
Résumé : The global demand for lithium-ion batteries is surging as the world looks to rapidly electrify vehicles and store renewable energy. Compared to other energy storage technologies, these batteries are distinguished by their light-weight, high weight and volumic power density, low self-discharge and no memory effect. Nevertheless, this type of batteries require a battery management system (BMS) to make them safe, reliable and efficient. The BMS needs to be fed with accurate information on the state of the battery for this purpose. Unfortunately, some key battery variables cannot be measured directly by sensors, which means that they have to be estimated. The state of charge (SOC) is one example of an unmeasurable internal battery state that must be estimated. Various approaches exist in the literature to estimate the battery SOC. Most of them are dedicated to single cell batteries. However, in practice, lithium-ion batteries consist of multiple cells associated in series or in parallel. Duplicating mono-cell approaches on each cell of the battery may lead to computation and implementation issues. For this reason, we need to develop low-computational estimation tools, that are easy to implement, adapted to multi-cell batteries: such solutions are presented in this PhD thesis.
Composition du jury :
– Antoine Girard (Centrale Supélec, CNRS, L2S, Gif-sur-Yvette) – rapporteur
– Scott Moura (University of California, Berkeley) – rapporteur
– Daniele Astolfi (Université de Lyon 1, CNRS, LAGEPP, Lyon) – examinateur
– Marie-Cécile Péra (Université Marie et Louis Pasteur, CNRS, FEMTO-ST, Belfort) – examinatrice
– Romain Postoyan (Université de Lorraine, CNRS, CRAN, Nancy) – directeur de thèse
– Stéphane Raël (Université de Lorraine, GREEN, Nancy) – co-directeur de thèse