Enhancing battery lifespan : estimation of Lithium-ion cells with « quasi-flat » voltage chemistry

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Élément Dublin Core	Valeur	Langue
dc.contributor.author	Roumane, Meriem Nihad	-
dc.contributor.other	Boukhetala, Djamel, Directeur de thèse	-
dc.contributor.other	POSTOYAN, Romain, Directeur de thèse	-
dc.date.accessioned	2023-10-22T13:59:15Z	-
dc.date.available	2023-10-22T13:59:15Z	-
dc.date.issued	2023	-
dc.identifier.other	EP00696	-
dc.identifier.uri	http://repository.enp.edu.dz/jspui/handle/123456789/10929	-
dc.description	Mémoire de Projet de Fin d’Études : Automatique: Alger, École Nationale Polytechnique : 2023	fr_FR
dc.description.abstract	Our research focuses on SOC estimation for LiFePO4 batteries, known for their flat OCV profile across SOC values—a vital BMS parameter. We design two sliding mode observers, one emphasizing battery voltage error convergence and the other OCV estimate accuracy. Simulations initially used constant parameters and were later validated with real values accounting for current, temperature, and SOC variations. This work contributes to advancements in LFP batteries SOC estimation, enhancing BMS performance.	fr_FR
dc.language.iso	en	fr_FR
dc.subject	Lithium-ion batteries	fr_FR
dc.subject	LiFePO4 state of charge (SOC)	fr_FR
dc.subject	flat OCV	fr_FR
dc.subject	Equivalent circuit model	fr_FR
dc.subject	Sliding mode observer	fr_FR
dc.subject	Lyapunov analysis	fr_FR
dc.title	Enhancing battery lifespan : estimation of Lithium-ion cells with « quasi-flat » voltage chemistry	fr_FR
dc.type	Thesis	fr_FR
Collection(s) :	Département Automatique

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