SOC Estimation Based Combined Model For Vehicle Batteries

DOI

10.2991/amcce-15.2015.335How to use a DOI?

Keywords

combined model; SOC; Kalman filter; Vehicle Batteries

Abstract

Batteries play an essential role in electric vehicles, In order to achieve an optimum operation of systems with batteries it is necessary to estimate accurate of the state of charge (SOC). In this paper a combined model for SOC estimation in Vehicle Batteries, based on extended Kalman filter (EKF) is presented. The influence of the environmental temperature and charge-discharge rate are considered in the combined model, which makes it suitable for the acute change of current in driving. The effectiveness of the proposed method is verified using an Extensive experiment. This approach has strong capacity of resisting disturbance and will be implemented easily by hardware for an online SOC estimation.

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/).

Download article (PDF)

TY  - CONF
AU  - Dongyuan Gu
AU  - Xiaojie Fu
AU  - Dongyong Yang
AU  - Jin Lu
PY  - 2015/04
DA  - 2015/04
TI  - SOC Estimation Based Combined Model For Vehicle Batteries
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-15.2015.335
DO  - 10.2991/amcce-15.2015.335
ID  - Gu2015/04
ER  -