| Issue |
E3S Web Conf.
Volume 237, 2021
3rd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2020)
|
|
|---|---|---|
| Article Number | 02018 | |
| Number of page(s) | 4 | |
| Section | Energy Conservation and Emission Reduction, Energy Science | |
| DOI | https://doi.org/10.1051/e3sconf/202123702018 | |
| Published online | 09 February 2021 | |
Research on the Capacity of Li-ion Battery Packer Based on Capacity Incremental Curve
1
ZheJiang Huiayun Technology Information Co., Ltd, 310000, China
2
CUSPEA Institute of Technology, Wenzhou, Zhejiang, 325024, China.
3
Shanghai Makesens Energy Storage Technology Co., Ltd., 201600, China
Lithium ion battery is the most widely used and reliable power source for electric vehicles. With the development of electric vehicles, the safety, energy density, life and reliability of lithium ion batteries have been continuously improved. However, in the field of vehicle power battery technology, battery monomers are combined in series and parallel to provide enough energy, but one of the major problems faced by group batteries is the consistency between battery monomers. Taking the capacity increment curve (IC curve) of lithium iron phosphate battery as the analysis tool, it is found that the characteristic peak of IC curve of different monomers in battery pack can reflect the relationship of monomer capacity. On this basis, the mathematical model is established, and the IC curve II peak characteristic point of a single cell are used as the reference to characterize the capacity of the single cell one by one. The results show that the method can be used in the normal charging process of the battery pack, and the capacity of the single cell in the battery pack can be characterized in real time during the whole life of the battery pack. It has certain research value for the ladder utilization and accurate management of battery pack.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.