Research on Safety Evaluation Method of Integrated Optical Storage and Charging Station
This paper studies the correlation between charging process performance indicators and charging safety of Solar-Energy storage-Charge station, analyses the influence of environmental factors, technical factors, design factors, management factors and user factors on charging process safety of energy...
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EDP Sciences
2021-01-01
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doaj-0bbf39d403f74591ae1f82d4916f9d472021-02-18T10:43:33ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012370201410.1051/e3sconf/202123702014e3sconf_arfee2021_02014Research on Safety Evaluation Method of Integrated Optical Storage and Charging StationZhang Jing0Jia Junguo1Huang Hui2Long Yi3Li Taoyong4Sun Linlin5Sun Hao6Beijing Electric Vehicle Charging/Battery Swap Engineering and Technology Research Center, China Electric Power Research InstituteSGCC Smart Energy and Electric Transportation Technology Innovation Center (SuZhou) Co., LtdMarketing Service Center, State Grid Chongqing Electric Power CompanyMarketing Service Center, State Grid Chongqing Electric Power CompanyBeijing Electric Vehicle Charging/Battery Swap Engineering and Technology Research Center, China Electric Power Research InstituteEV Charging and Travel Department, Corporation of State Grid Electric Car serviceSGCC Smart Energy and Electric Transportation Technology Innovation Center (SuZhou) Co., LtdThis paper studies the correlation between charging process performance indicators and charging safety of Solar-Energy storage-Charge station, analyses the influence of environmental factors, technical factors, design factors, management factors and user factors on charging process safety of energy stations. The projection pursuit algorithm is used to evaluate the influence degree of each parameter on the safety of charging process; through the establishment of charging safety evaluation system, the safety risks of battery damage and even fire caused by excessive charging current and high battery temperature are identified. The monitoring parameters corresponding to the charging safety state are determined. According to the different battery types adopted by different vehicle models, the corresponding charging mode is determined. According to the monitoring results of key data of the core equipment in the charging process, such as charging current, charging voltage, battery temperature, etc., the charging strategies of different vehicle models and different battery types are analysed, which provides reference for the safe operation of charging process.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/13/e3sconf_arfee2021_02014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhang Jing Jia Junguo Huang Hui Long Yi Li Taoyong Sun Linlin Sun Hao |
spellingShingle |
Zhang Jing Jia Junguo Huang Hui Long Yi Li Taoyong Sun Linlin Sun Hao Research on Safety Evaluation Method of Integrated Optical Storage and Charging Station E3S Web of Conferences |
author_facet |
Zhang Jing Jia Junguo Huang Hui Long Yi Li Taoyong Sun Linlin Sun Hao |
author_sort |
Zhang Jing |
title |
Research on Safety Evaluation Method of Integrated Optical Storage and Charging Station |
title_short |
Research on Safety Evaluation Method of Integrated Optical Storage and Charging Station |
title_full |
Research on Safety Evaluation Method of Integrated Optical Storage and Charging Station |
title_fullStr |
Research on Safety Evaluation Method of Integrated Optical Storage and Charging Station |
title_full_unstemmed |
Research on Safety Evaluation Method of Integrated Optical Storage and Charging Station |
title_sort |
research on safety evaluation method of integrated optical storage and charging station |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
This paper studies the correlation between charging process performance indicators and charging safety of Solar-Energy storage-Charge station, analyses the influence of environmental factors, technical factors, design factors, management factors and user factors on charging process safety of energy stations. The projection pursuit algorithm is used to evaluate the influence degree of each parameter on the safety of charging process; through the establishment of charging safety evaluation system, the safety risks of battery damage and even fire caused by excessive charging current and high battery temperature are identified. The monitoring parameters corresponding to the charging safety state are determined. According to the different battery types adopted by different vehicle models, the corresponding charging mode is determined. According to the monitoring results of key data of the core equipment in the charging process, such as charging current, charging voltage, battery temperature, etc., the charging strategies of different vehicle models and different battery types are analysed, which provides reference for the safe operation of charging process. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/13/e3sconf_arfee2021_02014.pdf |
work_keys_str_mv |
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