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General parameter identification procedure and comparative study of Li-Ion battery models

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dc.affiliation.dptoUC3M. Departamento de Tecnología Electrónicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Sistemas Electrónicos de Potencia (GSEP)es
dc.contributor.authorMiniguano Miniguano, Henry Santiago
dc.contributor.authorBarrado Bautista, Andrés
dc.contributor.authorLázaro Blanco, Antonio
dc.contributor.authorZumel Vaquero, Pablo
dc.contributor.authorFernández Herrero, Cristina
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-02-23T14:50:03Z
dc.date.available2021-02-23T14:50:03Z
dc.date.issued2020-01-01
dc.description.abstractAccurate and robust battery models are required for the proper design and operation of battery-powered systems. However, the parametric identification of these models requires extensive and sophisticated methods to achieve enough accuracy. This article shows a general and straightforward procedure, based on Simulink and Simscape of Matlab, to build and parameterize Li-ion battery models. The model parameters are identified with the Optimization Toolbox of Matlab, by means of an iterative process to minimize the sum of the squared errors. In addition, this procedure is applied to a selection of five different models available in the literature for electric vehicle applications, obtaining a comparative study between them. Also, the performance of each battery model is evaluated through two current profiles from two driven profiles known as the Urban Driving Cycle (ECE-15 or UDC) and the Hybrid Pulse Power Characterization (HPPC). The experimental results obtained from a Li-ion polymer battery have been compared with the data provided by the models, confirming the effectiveness of the proposed procedure, and also, the application field of each model as a function of the required accuracy.en
dc.description.sponsorshipThis work was supported by the Ministry of Economy and Competitiveness and FEDER funds through the research project “Storage and Energy Management for Hybrid Electric Vehicles based on Fuel Cell, Battery, and Supercapacitors”—ELECTRICAR-AG-(DPI2014- 53685-C2-1-R).en
dc.identifier.bibliographicCitationH. Miniguano, A. Barrado, A. Lázaro, P. Zumel and C. Fernández, "General Parameter Identification Procedure and Comparative Study of Li-Ion Battery Models," in IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 235-245, Jan. 2020
dc.identifier.doihttps://www.doi.org/10.1109/TVT.2019.2952970
dc.identifier.issn0018-9545
dc.identifier.publicationfirstpage235
dc.identifier.publicationissue1
dc.identifier.publicationlastpage245
dc.identifier.publicationtitleIEEE Transactions on Vehicular Technology
dc.identifier.publicationvolume69
dc.identifier.urihttps://hdl.handle.net/10016/32007
dc.identifier.uxxiAR/0000025508
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDGobierno de España. DPI2014-53685-C2-1-R
dc.rights© 2019 IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaElectrónicaes
dc.subject.otherEce15en
dc.subject.otherHppcen
dc.subject.otherLi-Ion battery modelsen
dc.subject.otherMatlaben
dc.subject.otherParameter estimationen
dc.subject.otherSimscapeen
dc.subject.otherSimulinken
dc.titleGeneral parameter identification procedure and comparative study of Li-Ion battery modelsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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