Please use this identifier to cite or link to this item: https://rinacional.tecnm.mx/jspui/handle/TecNM/472
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dc.contributor.authorCONTRERAS SILLERO, ALINA ARACELI%646606-
dc.creatorCONTRERAS SILLERO, ALINA ARACELI%646606-
dc.date.accessioned2020-08-14T18:07:16Z-
dc.date.available2020-08-14T18:07:16Z-
dc.date.issued2018-06-01-
dc.identifier.urihttps://rinacional.tecnm.mx/handle/TecNM/472-
dc.descriptionCurrently, technologies have been inclined to use green energy from natural resources. Research has overseen extracting and incorporating these energies into the electrical grid, however, the biggest drawback of techniques it is that is not possible to control quantity and/or duration, consequently, storage devices such as batteries must be used. Batteries currently play a significant role in the use of electric power. Such devices have applications on a small and large scale; for low power applications (low scale), batteries are used in portable electronic devices such as cell phones, computers, fans, etc.; on the other hand, for high power applications (large scale), these sources are used as energy reserve for automotive applications, energy injection to the grid, among others. The battery is the most used device to store energy by its practicality and efficiency that it grants to the user. A battery ages in proportion to the charging and discharging cycles; Such processes degrade the chemicals that make up the storage device; a low charge results in stratification and sulphation effects that shorten battery life, while overcharging causes gas and water loss. Because power is stored in a limited battery, it is important to have the ability to determine the available capacity, the state of charge (SOC), and health state of health (SOH) of said device; this ensures that the battery has the power available to be used. This work consists of the design and implementation of a battery management system (BMS) for a Lithium-Ion battery which allows us to know the SOC and SOH of it. The method that was used to carry out the calculation was by the "Coloumb count" due to its efficiency and practicality, likewise, this allowed us to characterize the battery and thus obtain its transfer function. Additionally, a comparison was made of the charging methods indicated in [8] but also using a commercial charger.es_MX
dc.language.isospaes_MX
dc.publisherTecnológico Nacional de Méxicoes_MX
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.subjectinfo:eu-repo/classification/cti/7es_MX
dc.titleEstimación de los estados de carga y salud de una batería de ion-litioes_MX
dc.typeinfo:eu-repo/semantics/masterThesises_MX
dc.contributor.directorDE LA GARZA CARRANZA, MARIA TERESA%22394-
dc.folio174es_MX
dc.rights.accessinfo:eu-repo/semantics/openAccesses_MX
dc.publisher.tecnmInstituto Tecnológico de Celaya-
Appears in Collections:Maestría en Ciencias en Ingeniería Electrónica

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