Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Design of double weighting system for lithium battery state estimation

Authors
Dong Jin Yang, Jian An Lou
Corresponding Author
Dong Jin Yang
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.130How to use a DOI?
Keywords
lithium battery; Weak signal detection; state estimation; Double weighting system
Abstract

The development of society is restricted by the problem of energy and environment, so battery has been attaching highly importance, lithium battery is widely praised for its high energy density, long cycle life, high open circuit voltage and so on. But the state of the charge of the lithium battery is not yet mature, and it cause a lot of waste of resources. In this paper, a double weighted state estimation system is established based on the characteristics of the lithium battery, the first layer weighted is by using weak signal detection technology, battery resistance measurement is implemented based on AC impedance method, the second layer weighted is by using neural networks, the resistance is the main parameter to achieve the estimation of battery's SOC. A double weighted system consisting of two weighted systems, it can easily achieve the estimation of the internal resistance and state of lithium battery.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.130How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Dong Jin Yang
AU  - Jian An Lou
PY  - 2017/01
DA  - 2017/01
TI  - Design of double weighting system for lithium battery state estimation
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 702
EP  - 706
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.130
DO  - https://doi.org/10.2991/icmmita-16.2016.130
ID  - Yang2017/01
ER  -