SOC estimation based on LPV-Kalman considering coulometric conversion

DOI

10.2991/ifmeita-16.2016.2How to use a DOI?

Keywords

Lithium-ion battery, SOC(state of charge) estimation, coulometric conversion coefficient, LPV(linear parameter-varying) model.

Abstract

C/3 discharging rate has been used to define battery nominal capacity in Chinese national standard. According to definition of the battery state of charge by the United States Advanced Battery Consortium, this article proposes that the capacity in different charging or discharging current should be unified to C/3 discharging capacity by the coulometric conversion coefficient. Through parameter identification of battery equivalent circuit model, this paper embeds model parameters to LPV model considering the coulometric conversion coefficient and uses LPV-Kalman to estimate SOC in time. Then, it compares to SOC estimation considering traditional Coulomb efficiency. Experiment shows that, this SOC estimation method has higher accuracy.

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/).

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TY  - CONF
AU  - Weiming Sun
AU  - Yanping Zheng
AU  - Xincan Wang
PY  - 2016/01
DA  - 2016/01
TI  - SOC estimation based on LPV-Kalman considering coulometric conversion
BT  - Proceedings of the 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SP  - 6
EP  - 12
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.2
DO  - 10.2991/ifmeita-16.2016.2
ID  - Sun2016/01
ER  -