SOC estimation for Power Lithium-ion Battery Based on AUKF

DOI

10.2991/aiea-16.2016.3How to use a DOI?

Keywords

Power lithium-ion battery; Adaptive unscented Kalman filter; SOC; Unscented transform.

Abstract

In order to improve vehicle performance and safety, need to accurately estimate the power lithium battery state of charge (SOC), in allusion to nonlinear characteristic of power lithium-ion battery, presented a method estimation of power lithium-ion battery SOC based on AUKF. Introduced the principle of adaptive estimation based on UKF, and estimated the varying noise statistics, in order to improve the stability of the filter and reduce the estimation error. Simulation results show that the method can convergence even in the case of the initial value is unknown.

Copyright

© 2016, 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  - Enguang Hou
AU  - Xin Qiao
AU  - Guangmin Liu
PY  - 2016/11
DA  - 2016/11
TI  - SOC estimation for Power Lithium-ion Battery Based on AUKF
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 14
EP  - 18
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.3
DO  - 10.2991/aiea-16.2016.3
ID  - Hou2016/11
ER  -