Issue |
E3S Web Conf.
Volume 352, 2022
7th International Conference on Energy Science and Applied Technology (ESAT 2022)
|
|
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Article Number | 02004 | |
Number of page(s) | 4 | |
Section | Clean Energy Technologies | |
DOI | https://doi.org/10.1051/e3sconf/202235202004 | |
Published online | 27 June 2022 |
Consistency Analysis of Large-scale Energy Storage Batteries
1 Wuxi Power Supply Company, Wuxi 510000, China
2 College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
a Corresponding author: luqz_turbo@163.com
With the development of large-scale electrochemical energy storage power stations, lithium-ion batteries have unique advantages in terms of re-energy density, power density, and cycle life, and are applied to power system energy storage devices. However, behind the rapid development, there are many key issues unanswered, which are likely to lead to various safety accidents. Therefore, it is very important to conduct consistency analysis of lithium batteries used in large-scale power systems to prepare for system safety assessment. This paper mainly explains the reasons and manifestations of the inconsistency, and based on data mining algorithms, uses the charging voltage curve clustering analysis method based on subtractive clustering to evaluate the consistency of lithium-ion batteries.
Key words: Large-scale energy storage / data mining / consistency analysis / cluster analysis
© The Authors, published by EDP Sciences, 2022
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.
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