Proceedings of the 2012 National Conference on Information Technology and Computer Science

A New Method of Predicting the SOC of Lithium-ion Batteries

Authors
Liangcheng Fu, Yutian Feng, Chunming Chen
Corresponding Author
Liangcheng Fu
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.253How to use a DOI?
Keywords
SOC prediction; dielectric loss angel; Lithium-ion battery; Python
Abstract
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.
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.253How to use a DOI?
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  -