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Commande robuste pour une gestion énergétique fonction de l’état de santé de la batterie au sein des véhicules hybrides

Abstract : In the recent years, growing public concern has been given both on the energy problem and on the environment problem resulted from dramatically increased vehicles equipped with Internal Combustion Engine (ICE). Subsequently, intensive contributions have been made by the automotive industries and research institutes on vehicles that depend less on the fossil fuels, and introduce less pollutant emissions. This has led to the emergence of environment-friendly and energy-saving vehicles such as the Hybrid Electric Vehicle (HEV) that is usually equipped with one or more additional electric motors and the associated power battery compared with the Conventional vehicles (CVs) propelled solely by the ICE. The key point of an HEV is to design a proper Energy Management Strategy (EMS) that decides how to split the demanded power between the engine and the motor (battery). As the most important and expensive part of an HEV, it is important to take into account battery states, such as battery State of Charge (SOC) and battery ageing, aiming at maintain the optimality of the achieved EMS, as well as prolonging the battery life. In this dissertation, an HEV of parallel structure, which is equipped with a Lithiumion battery is considered. This dissertation is focused on accounting for battery related items, i.e. battery SOC and SOH indicated by battery parameters, in the EMS developments leading to a kind of fault tolerant EMS. Some brief introduction on the control methods and realization approaches involved in this work is presented first, followed by two big parts: the first part is focused on the battery modeling and estimation, while the second part is concerned by the vehicle modeling and few kinds of EMS development methods.
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Tinghong Wang. Commande robuste pour une gestion énergétique fonction de l’état de santé de la batterie au sein des véhicules hybrides. Autre. Université de Grenoble, 2013. Français. ⟨NNT : 2013GRENT038⟩. ⟨tel-00947310⟩

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