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Authordc.contributor.authorPérez, Aramis 
Authordc.contributor.authorBenavides, Matías 
Authordc.contributor.authorRozas, Heraldo 
Authordc.contributor.authorSeria, Sebastián 
Authordc.contributor.authorOrchard Concha, Marcos 
Admission datedc.date.accessioned2019-05-31T15:19:55Z
Available datedc.date.available2019-05-31T15:19:55Z
Publication datedc.date.issued2018
Cita de ítemdc.identifier.citationInternational Journal of Prognostics and Health Management, Volumen 9, Issue Special Issue 9, 2018,
Identifierdc.identifier.issn21532648
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169396
Abstractdc.description.abstractThis article aims to describe the most important aspects to consider when using the concept of internal impedance in algorithms that focus on characterizing the degradation of lithium-ion (Li-ion) batteries. The first part of the article provides a literature review that will help the reader understand the concept of electrochemical impedance spectroscopy (EIS) and how Li-ion batteries can be represented through electrochemical or empirical models, in order to interpret the outcome of typical discharge and/or degradation tests on Li-ion batteries. The second part of the manuscript shows the obtained results of an accelerated degradation experiment performed under controlled conditions on a Li-ion cell. Results show that changes observed on the EIS test can be linked to battery degradation. This knowledge may be of great value when implementing algorithms aimed to predict the End-of-Life (EoL) of the battery in terms of temperature, voltage, and discharge current measurements. The purpose of this article is to introduce the reader to several types of Li-ion battery models, and show how the internal impedance of a Li-ion battery is a dynamic parameter that depends on different factors; and then, illustrate how the EIS can be used to obtain an equivalent circuit model and how the different electronic components vary with the use given to the battery.
Lenguagedc.language.isoen
Publisherdc.publisherPrognostics and Health Management Society
Sourcedc.sourceInternational Journal of Prognostics and Health Management
Keywordsdc.subjectComputer Science (miscellaneous)
Keywordsdc.subjectCivil and Structural Engineering
Keywordsdc.subjectSafety, Risk, Reliability and Quality
Keywordsdc.subjectEnergy Engineering and Power Technology
Keywordsdc.subjectMechanical Engineering
Títulodc.titleGuidelines for the characterization of the internal impedance of lithium-ion batteries in PHM algorithms
Document typedc.typeArtículo de revista
dcterms.accessRightsdcterms.accessRightsAcceso a solo metadatos
Catalogueruchile.catalogadorjmm
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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