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A method for modeling the battery state of charge in wireless sensor networks

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A method for modeling the battery state of charge in wireless sensor networks

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dc.contributor.author Lajara Vizcaíno, José Rafael es_ES
dc.contributor.author Pérez Solano, Juan José es_ES
dc.contributor.author Pelegrí Sebastiá, José es_ES
dc.date.accessioned 2015-02-17T14:41:44Z
dc.date.available 2015-02-17T14:41:44Z
dc.date.issued 2015-02
dc.identifier.issn 1530-437X
dc.identifier.uri http://hdl.handle.net/10251/47216
dc.description (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. es_ES
dc.description.abstract In this paper we propose a method for obtaining an analytic model of the battery State-of-Charge (SoC) in wireless sensor nodes. The objective is to find simple models that can be used to estimate accurately the real battery state and consequently the node lifetime. Running the model in the network nodes, we can provide the motes with the required information to implement applications that can be considered as battery-aware. The proposed methodology reduces the computational complexity of the model avoiding complicated electrochemical simulations and treating the battery as an unknown system with an output that can be predicted using simple mathematical models. At a first stage, during a setup period, the method starts with the measurement of several battery parameters under different environmental and operational conditions. After that, the method uses the previous collected data for building mathematical models, considering the linear regression or the multilayer perceptron as the most appropriated. Finally, the models are validated experimentally with new measures. Results show the suitability of the method that produces accurate and simple models, capable of being implemented even in low-cost and very constrained real motes es_ES
dc.description.sponsorship This work was supported by the I+D+i Program, Generalitat Valenciana, through the Research and Development under Project GV05/043 and in part by the Vicerrectorado of Investigation, Development and Innovation, Universidad Politecnica de Valencia, under Grant PAID-06-06-002-61. en_EN
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation.ispartof IEEE Sensors Journal es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Batteries modeling es_ES
dc.subject Batteries State-of-Charge es_ES
dc.subject Energy es_ES
dc.subject Wireless sensor networks es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title A method for modeling the battery state of charge in wireless sensor networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/JSEN.2014.2361151
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV05%2F043/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-06-002-61/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.description.bibliographicCitation Lajara Vizcaíno, JR.; Pérez Solano, JJ.; Pelegrí Sebastiá, J. (2015). A method for modeling the battery state of charge in wireless sensor networks. IEEE Sensors Journal. 15(2):1186-1197. https://doi.org/10.1109/JSEN.2014.2361151 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/JSEN.2014.2361151 es_ES
dc.description.upvformatpinicio 1186 es_ES
dc.description.upvformatpfin 1197 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 276541
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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