dc.creatorPérez, Aramis
dc.creatorBenavides, Matías
dc.creatorRozas, Heraldo
dc.creatorSeria, Sebastián
dc.creatorOrchard Concha, Marcos
dc.date.accessioned2019-05-31T15:19:55Z
dc.date.available2019-05-31T15:19:55Z
dc.date.created2019-05-31T15:19:55Z
dc.date.issued2018
dc.identifierInternational Journal of Prognostics and Health Management, Volumen 9, Issue Special Issue 9, 2018,
dc.identifier21532648
dc.identifierhttps://repositorio.uchile.cl/handle/2250/169396
dc.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.
dc.languageen
dc.publisherPrognostics and Health Management Society
dc.sourceInternational Journal of Prognostics and Health Management
dc.subjectComputer Science (miscellaneous)
dc.subjectCivil and Structural Engineering
dc.subjectSafety, Risk, Reliability and Quality
dc.subjectEnergy Engineering and Power Technology
dc.subjectMechanical Engineering
dc.titleGuidelines for the characterization of the internal impedance of lithium-ion batteries in PHM algorithms
dc.typeArtículo de revista


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