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Predicting the Batteries' State of Health in Wireless Sensor Networks Applications

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Predicting the Batteries' State of Health in Wireless Sensor Networks Applications

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Lajara Vizcaino, JR.; Perez Solano, JJ.; Pelegrí Sebastiá, J. (2018). Predicting the Batteries' State of Health in Wireless Sensor Networks Applications. IEEE Transactions on Industrial Electronics. 65(11):8936-8945. https://doi.org/10.1109/TIE.2018.2808925

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/142519

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Title: Predicting the Batteries' State of Health in Wireless Sensor Networks Applications
Author: Lajara Vizcaino, Jose Rafael Perez Solano, Juan J. Pelegrí Sebastiá, José
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] The lifetime of wireless sensor networks deployments depends strongly on the nodes battery state of health (SoH). It is important to detect promptly those motes whose batteries are affected and degraded by ageing, ...[+]
Subjects: Battery , Energy , Microcontrollers , Models , State of health (SoH) , Wireless sensor networks
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Industrial Electronics. (issn: 0278-0046 )
DOI: 10.1109/TIE.2018.2808925
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TIE.2018.2808925
Project ID:
MINECO/BIA2016-76957-C3-1-R
GENERALITAT VALENCIANA/AICO/2016/046
Thanks:
This work was supported in part by the Spanish MINECO under Grant BIA2016-76957-C3-1-R and in part by the I+D+i Program of the Generalitat Valenciana, Spain, under Grant AICO/2016/046.
Type: Artículo

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