Consistency Analysis of Large-scale Energy Storage Batteries

Autor: Ping Xueliang, Zhou Pengcheng, Zhang Yuling, Lu Qianzi, Chen Kechi
Jazyk: English<br />French
Rok vydání: 2022
Předmět:
Zdroj: E3S Web of Conferences, Vol 352, p 02004 (2022)
Druh dokumentu: article
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202235202004
Popis: 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.
Databáze: Directory of Open Access Journals