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

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/amcce-15.2015.366
ID  - Niu2015/04
ER  -