Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Method of estimating the state of charge of a battery electric vehicle based on RS-SVM

Authors
Guocheng Niu, Bongmei Hu, Jing Bai
Corresponding Author
Guocheng Niu
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.366How to use a DOI?
Keywords
Rough set Support vector machinesoc
Abstract
Charging, discharge, maintenance and energy management technology for electric vehicle power battery is relatively backward, An advanced and reasonable method is presented for battery state of charge( SOC ), used simple rough set attribute ,simplified battery charging related parameters, the simplified data is processed by using the support vector machine (SVM) to predict charged state of the battery , and the service life of the battery is lengthened .This paper has important research value.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.366How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guocheng Niu
AU  - Bongmei Hu
AU  - Jing Bai
PY  - 2015/04
DA  - 2015/04
TI  - Method of estimating the state of charge of a battery electric vehicle based on RS-SVM
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.366
DO  - https://doi.org/10.2991/amcce-15.2015.366
ID  - Niu2015/04
ER  -