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UID:1086@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20251006T150000
DTEND;TZID=Europe/Paris:20251006T180000
DTSTAMP:20251006T082645Z
URL:https://www.cran.univ-lorraine.fr/events/soutenance-de-these-mira-khal
 il-these-confidentielle/
SUMMARY:Soutenance de these Mira Khalil - these confidentielle
DESCRIPTION:Titre : Low-dimensional observer design with robust convergence
  guarantees for lithium-ion batteries: from a single cell to multiple cel
 ls\n\nRésumé : 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 disti
 nguished by their light-weight\, high weight and volumic power density\, l
 ow self-discharge and no memory effect. Nevertheless\, this type of batter
 ies require a battery management system (BMS) to make them safe\, reliable
  and efficient. The BMS needs to be fed with accurate information on the s
 tate of the battery for this purpose. Unfortunately\, some key battery var
 iables cannot be measured directly by sensors\, which means that they have
  to be estimated. The state of charge (SOC) is one example of an unmeasura
 ble internal battery state that must be estimated. Various approaches exis
 t in the literature to estimate the battery SOC. Most of them are dedicate
 d 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-comput
 ational estimation tools\, that are easy to implement\, adapted to multi-c
 ell batteries: such solutions are presented in this PhD thesis.\n\nComposi
 tion du jury :\n\n- Antoine Girard (Centrale Supélec\, CNRS\, L2S\, Gif-s
 ur-Yvette) - rapporteur\n\n- Scott Moura (University of California\, Berke
 ley) - rapporteur\n\n- Daniele Astolfi (Université de Lyon 1\, CNRS\, LAG
 EPP\, Lyon) - examinateur\n\n- Marie-Cécile Péra (Université Marie et L
 ouis Pasteur\, CNRS\, FEMTO-ST\, Belfort) - examinatrice\n\n- Romain Post
 oyan (Université de Lorraine\, CNRS\, CRAN\, Nancy) - directeur de thèse
 \n\n- Stéphane Raël (Université de Lorraine\, GREEN\, Nancy) - co-direc
 teur de thèse\n\n&nbsp\;
CATEGORIES:Soutenances thèses et HDR
LOCATION:CRAN - ENSEM\, 2\, Avenue de la Foret de Haye\, Voandoeuvre-les-Na
 ncy\, 54516\, France
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