Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation
Joint Authors
de Cos Juez, Francisco Javier
Calvo-Rolle, José Luis
Casteleiro-Roca, José-Luis
Méndez Pérez, Juan Albino
Jove, Esteban
Lasheras, Fernando Sánchez
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Batteries are one of the principal components in electric vehicles and mobile electronic devices.
They operate based on electrochemical reactions, which are exhaustively tested to check their behavior and to determine their characteristics at each working point.
One remarkable issue of batteries is their complex behavior.
The power cell type under analysis in this research is a LFP (Lithium Iron Phosphate LiFePO4).
The purpose of this research is to predict the power cell State of Charge (SOC) by creating a hybrid intelligent model.
All the operating points measured from a real system during a capacity confirmation test make up the dataset used to obtain the model.
This dataset is clustered to obtain different behavior groups, which are used to develop the final model.
Different regression techniques such as polynomial regression, support vector regression (SVR), and artificial neural networks (ANN) have been implemented for each cluster.
A combination of these methods is performed to achieve an intelligent model.
The SOC of the power cell can be predicted by this hybrid intelligent model, and good results are achieved.
American Psychological Association (APA)
Casteleiro-Roca, José-Luis& Jove, Esteban& Lasheras, Fernando Sánchez& Méndez Pérez, Juan Albino& Calvo-Rolle, José Luis& de Cos Juez, Francisco Javier. 2017. Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation. Journal of Sensors،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187699
Modern Language Association (MLA)
Casteleiro-Roca, José-Luis…[et al.]. Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation. Journal of Sensors No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1187699
American Medical Association (AMA)
Casteleiro-Roca, José-Luis& Jove, Esteban& Lasheras, Fernando Sánchez& Méndez Pérez, Juan Albino& Calvo-Rolle, José Luis& de Cos Juez, Francisco Javier. Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187699
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187699