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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/34348
Title: Proposal for modeling electric vehicle battery using experimental data and considering temperature effects
Authors: Minchala Avila, Luis Ismael
Gruosso, Giambattista
Valladolid Quitoisaca, Juan Diego
Ortiz Gonzalez, Juan Paul
Patiño, Diego
Keywords: Data models
Integrated circuit modeling
Batteries
Temperature measurement
Battery charge measurement
Discharges (electric)
State of charge
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 2. Ingeniería y Tecnología
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 2.2.1 Ingeniería Eléctrica y Electrónica
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 2.2 Ingenierias Eléctrica, Electrónica e Información
metadata.dc.ucuenca.areaconocimientounescoamplio: 07 - Ingeniería, Industria y Construcción
metadata.dc.ucuenca.areaconocimientounescodetallado: 0713 - Electricidad y Energia
metadata.dc.ucuenca.areaconocimientounescoespecifico: 071 - Ingeniería y Profesiones Afines
Issue Date: 2019
metadata.dc.ucuenca.embargoend: 20-May-2050
metadata.dc.ucuenca.volumen: Volumen 0
metadata.dc.source: 2019 IEEE Milan PowerTech, PowerTech 2019
metadata.dc.identifier.doi: 10.1109/PTC.2019.8810611
Publisher: Institute of Electrical and Electronics Engineers Inc.
metadata.dc.description.city: 
Milano
metadata.dc.type: ARTÍCULO DE CONFERENCIA
Abstract: 
This paper presents details on the development of two mathematical models of lithium polymers batteries used in electric vehicles (EVs). These models describe the battery state of charge (SOC), and the output voltage of the batteries by using experimental data gathered during the driving of the EV on pre-established routes. The first model estimates the SOC based on temperature data, while the second model replaces the RC network of the traditional Thevenin model by a battery transfer function where the variables of temperature and current are used instead. To determine the performance of these models, simulations are conducted in the MATLAB/Simulink platform. Simulation results are compared with data measured from the EV by using the mean square error index (MSE) for each estimator. The second modeling approach shows a better performance than the battery empirical model obtained from Nernst model.
Description: 
This paper presents details on the development of two mathematical models of lithium polymers batteries used in electric vehicles (EVs). These models describe the battery state of charge (SOC), and the output voltage of the batteries by using experimental data gathered during the driving of the EV on pre-established routes. The first model estimates the SOC based on temperature data, while the second model replaces the RC network of the traditional Thevenin model by a battery transfer function where the variables of temperature and current are used instead. To determine the performance of these models, simulations are conducted in the MATLAB/Simulink platform. Simulation results are compared with data measured from the EV by using the mean square error index (MSE) for each estimator. The second modeling approach shows a better performance than the battery empirical model obtained from Nernst model.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/34348
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072324504&origin=inward
metadata.dc.ucuenca.urifuente: https://ieeexplore.ieee.org/xpl/conhome/8792346/proceeding?rowsPerPage=100&pageNumber=3
ISBN: 978-153864722-6
ISSN: 0000-0000
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