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

Roumane, Meriem Nihad

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