Design of double weighting system for lithium battery state estimation
- https://doi.org/10.2991/icmmita-16.2016.130How to use a DOI?
- lithium battery; Weak signal detection; state estimation; Double weighting system
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.
- © 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 -