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Modélisation du vieillissement et détermination de l’état de santé de batteries lithium-ion pour application véhicule électrique et hybride

Abstract : In this thesis, we focus on the reliability of lithium batteries used for automotive applications. For this purpose, electric and thermal characterization methodologies as well as aging tests under several modes (calendar, power cycling, calendar/power cycling) are carried out.In a first part of the work, battery modeling and battery state estimation (state-of-charge and state-of-health) are considered.Then, based on periodic characterization from electrochemical impedance spectroscopy, calendar aging is investigated. Next, we proposed an original process for precise battery state-of-health determination that exploits a full recharge and mainly constant-voltage charge step which allows easily its integration within a battery management system. Our experimental results, up to two years real-life data, confirm effectiveness of our technique.Finally, we study the capacity recovery phenomenon occurring due to combined battery aging (calendar/power cycling). This final part is almost dedicated to introduce strategies for battery use presenting at the same time a thermal behavior study.
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Submitted on : Monday, March 10, 2014 - 6:47:36 PM
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  • HAL Id : tel-00957678, version 1

Citation

Akram Eddahech. Modélisation du vieillissement et détermination de l’état de santé de batteries lithium-ion pour application véhicule électrique et hybride. Autre [cond-mat.other]. Université Sciences et Technologies - Bordeaux I, 2013. Français. ⟨NNT : 2013BOR14992⟩. ⟨tel-00957678⟩

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