A New Method of Predicting the SOC of Lithium-ion Batteries
Liangcheng Fu, Yutian Feng, Chunming Chen
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.253How to use a DOI?
- SOC prediction; dielectric loss angel; Lithium-ion battery; Python
- The most important parameters of the battery management system are the state of charge(SOC) and state of health(SOH). The traditional method of estimating the SOC and SOH is to take measurement of the discharge current and the open circuit voltage. This paper proposed a new method of predicting the SOC which based on the measurement of dielectric loss angel. The method originated in the speculation that different state of charge batteries has different internal electrolyte distribution. In order to validate our point of view, a lot of experiment was done and got a series of convincing data. The preliminary experiment demonstrated that the SOC of Lithiumion battery is in proportion to the Dielectric loss angle of internal medium to some extent.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Liangcheng Fu AU - Yutian Feng AU - Chunming Chen PY - 2012/11 DA - 2012/11 TI - A New Method of Predicting the SOC of Lithium-ion Batteries BT - 2012 National Conference on Information Technology and Computer Science PB - Atlantis Press SP - 997 EP - 999 SN - 1951-6851 UR - https://doi.org/10.2991/citcs.2012.253 DO - https://doi.org/10.2991/citcs.2012.253 ID - Fu2012/11 ER -