Research on integrated safety assessment model of electric vehicle charging process

被引：3

作者：

Sun, Lei ^{[1
]}

Ma, Yong ^{[1
]}

Li, Xiaohan ^{[1
]}

Guo, Dongliang ^{[1
]}

Liu, Jianjun ^{[1
]}

Wu, Peng ^{[1
]}

Xiao, Peng ^{[1
]}

机构：

[1] State Grid Jiangsu Elect Power CO LTD, Res Inst, 1 Pavel Rd, Nanjing 211103, Jiangsu, Peoples R China

来源：

IET SMART GRID | 2023年 / 6卷 / 01期

关键词：

Charging (batteries) - Data mining - Electric power distribution - Electric power transmission networks - Vehicle-to-grid;

D O I：

10.1049/stg2.12071

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the rapid development of electric vehicles (EV), the problem of charging safety is a multifaceted and complex issue. Taking the integration of electric vehicle charging as the research object, including power batteries, charging piles, and power distribution grids, charging data is collected based on data mining technology. At the same time, the factors affecting charging safety are analysed, and an integrated index set is established and optimised. The comprehensive fuzzy evaluation method is used to comprehensively analyse the monitoring data of the electric vehicle charging process, the weight is determined based on the grey correlation method and the expert scoring mechanism, and an integrated evaluation model of the electric vehicle charging process is established. Analyse five sets of charging data in Nanjing through calculation examples, and output the integrated health degree of the electric vehicle charging process so that the equipment can be maintained in a targeted manner, which effectively proves the practicability and reliability of the assessment model.

引用

页码：17 / 27

页数：11