Method of estimating the state of charge of a battery electric vehicle based on RS-SVM
Guocheng Niu, Bongmei Hu, Jing Bai
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.366How to use a DOI?
- Rough set Support vector machinesoc
- 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.
- 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 -