SOC estimation based on LPV-Kalman considering coulometric conversion
Weiming Sun, Yanping Zheng, Xincan Wang
Available Online January 2016.
- https://doi.org/10.2991/ifmeita-16.2016.2How to use a DOI?
- Lithium-ion battery, SOC(state of charge) estimation, coulometric conversion coefficient, LPV(linear parameter-varying) model.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2016 International Forum on Management, Education and Information Technology Application PB - Atlantis Press SN - 2352-5398 UR - https://doi.org/10.2991/ifmeita-16.2016.2 DO - https://doi.org/10.2991/ifmeita-16.2016.2 ID - Sun2016/01 ER -