SOC Estimation Based Combined Model For Vehicle Batteries
Authors
Dongyuan Gu, Xiaojie Fu, Dongyong Yang, Jin Lu
Corresponding Author
Dongyuan Gu
Available Online April 2015.
- 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/).
Cite this article
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 -