Dynamic consumption representation of electric vehicles based on battery capacity

Fuente: Redalyc
Salvato in:
Dettagli Bibliografici
Autore principale: Adriana Marcela Quintero-Montenegro
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2018
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1876437197282869248
author Adriana Marcela Quintero-Montenegro
author_facet Adriana Marcela Quintero-Montenegro
contents Dynamic consumption representation of electric vehicles based on battery capacity Adriana Marcela Quintero-Montenegro Cristian Camilo Mendoza-Grosso Francisco Santamaría Jorge Alexander Alarcón-Villamil Ingeniería battery capacity state of charge electric vehicles probability function This paper presents a methodology for generating different charge characteristics using probability function of battery capacity and Tremblay non-linear battery electric model. The battery capacities are grouped into five categories to obtain a behavior of the charging curve variable over time and to determine the probability function of discharged energy. The charging curves of each electric vehicle will represent instantaneous power consumption in a low voltage distribution system with 56 nodes and will allow the comparison between the proposed methodology and the case that considers a linear characteristic of battery charging curve. 2018 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49655628021 https://www.redalyc.org/journal/496/49655628021/ https://www.redalyc.org/journal/496/49655628021/html/ https://www.redalyc.org/journal/496/49655628021/49655628021.epub https://www.redalyc.org/journal/496/49655628021/movil 10.15446/dyna.v85n204.59459 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.204 Vol.85
format Artículo científico
id redalyc_49655628021
institution Redalyc
language en
publishDate 2018
publisher Universidad Nacional de Colombia
spellingShingle Dynamic consumption representation of electric vehicles based on battery capacity
Adriana Marcela Quintero-Montenegro
Ingeniería
battery
capacity
state of charge
electric vehicles
probability function
Dynamic consumption representation of electric vehicles based on battery capacity Adriana Marcela Quintero-Montenegro Cristian Camilo Mendoza-Grosso Francisco Santamaría Jorge Alexander Alarcón-Villamil Ingeniería battery capacity state of charge electric vehicles probability function This paper presents a methodology for generating different charge characteristics using probability function of battery capacity and Tremblay non-linear battery electric model. The battery capacities are grouped into five categories to obtain a behavior of the charging curve variable over time and to determine the probability function of discharged energy. The charging curves of each electric vehicle will represent instantaneous power consumption in a low voltage distribution system with 56 nodes and will allow the comparison between the proposed methodology and the case that considers a linear characteristic of battery charging curve. 2018 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49655628021 https://www.redalyc.org/journal/496/49655628021/ https://www.redalyc.org/journal/496/49655628021/html/ https://www.redalyc.org/journal/496/49655628021/49655628021.epub https://www.redalyc.org/journal/496/49655628021/movil 10.15446/dyna.v85n204.59459 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.204 Vol.85
title Dynamic consumption representation of electric vehicles based on battery capacity
topic Ingeniería
battery
capacity
state of charge
electric vehicles
probability function
url https://www.redalyc.org/articulo.oa?id=49655628021
https://www.redalyc.org/journal/496/49655628021/
https://www.redalyc.org/journal/496/49655628021/html/
https://www.redalyc.org/journal/496/49655628021/49655628021.epub
https://www.redalyc.org/journal/496/49655628021/movil