skip to main content
10.1145/3560089.3560093acmotherconferencesArticle/Chapter ViewAbstractPublication PagesieccConference Proceedingsconference-collections
research-article

Research on an Electric Energy Traceability Method for DC Charger based on Wide Area Multi-source Data

Published: 30 September 2022 Publication History

Abstract

The accuracy of electric vehicle DC charger electric energy was directly related to the fairness for charging trade settlement. Aiming at the problem of reliable energy traceability for electric vehicle DC charger, a method of electric energy traceability for DC charger based on wide area multi-source data was proposed. The robust algorithm A statistical method was used to analyze the comparison results to ensure the consistency and reliability of DC energy traceability though the comparison of DC energy metering and calibration capabilities. It is found that the DC energy value obtained by using the method based on wide area multi-source data was closer to the calibration result issued by the superior unit, so as to the evaluation result was more effective comparing with the traditional statistical method. This method can ensure the accuracy and consistency of the electrical energy value of electric vehicle DC charger in the case of the DC value traceability system has not been established, so it has a certain value for promotion and application.

References

[1]
ZHANG Chenyu, LIU Jiankun, GE Xuefeng, YUAN Xiaodong. Typical Scene Based on PET and Comprehensive Energy Efficiency Analysis of DC Distribution Network [J]. Electrical appliances and energy efficiency management technology,2019,7:28-29.
[2]
WANG Zhenji. Research on the layered distributed Control strategy and protection adaptability of multi-terminal flexible DC system[D].Beijing: Beijing Jiaotong University, 2019.
[3]
LIN Yong, ZHAO Sihang, LIN Yanhong, CHEN Ailing. Research on traceability of electric vehicle non-on-board charger [J]. Electronic Quality, 2020(07):13-16.
[4]
WANG Xiaohui. Development history and present situation of national DC resistance reference [J]. China Metrology,2018(09):67-68.
[5]
JJF1148-2018 AC charging pile for electric vehicles [S].Beijing:General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, 2017.
[6]
Kong Fandong, Chen Chao, Wang Can, Ren Xue-di. The influence of different stability assessment methods on the result of quantity-value comparison [J]. Shanghai metrology & measurement,2018,45(02):37-39.
[7]
WU Gang. Study on traceability and verification technology of measuring instrument[J]. China Petroleum and Chemical Standards and Quality,2021,41(13):39-40.
[8]
ZHU Xianyu, LI Qingxian, LIU Liangjiang, WANG Jinwei, XIANG De,XIONG Jie. Discussion on the Perfection of Measurement Traceability System for DC Energy [J]. Metrology & Measurement Technique,2021,48(10):16-19.
[9]
LIN Guoying, PAN Feng. Direct current energy metering technology [M]. China Electric Power Press, 2018, 08.
[10]
WU Zheng. Key technology and application of DC distribution network[M]. China Electric Power Press, 2019, 07.
[11]
JJG1149-2018 Off-board Charger for Electric Vehicles [S]. Beijing:General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, 2018.
[12]
LI Kai, YANG Maotao, WAMG Zhi, YANG Jing. Field Detection Device for DC Charging Pile Power Metering Module and Its Traceability[J]. Electronic Measurement Technology, 2017, 40(09): 265-270.
[13]
CNAS-GL003 Guidance on Evaluating the Homogeneity and Stability of Samples Used for Proficiency Testing [S]. Beijing:General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, 2018.
[14]
JJF1117-2010 Measurement Comparison [S].Beijing:General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, 2010.
[15]
JJF 1085-2013 Reference Meters for Electrical Energy [S]. Beijing:General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China 2013.
[16]
JJG842-2017 Electronic Meters for measuring Direct-current Electronical Energy[S]. Beijing:General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, 2017.
[17]
GB/T 28043-2019 Statistical Methods for Use in Proficiency Testing by Interlaboratory Comparison[S]. Beijing:Standardization Administration of China, 2019.
[18]
LIU Feixiang, LI Hua, LUO Ying, XIE Xiaojun. Evaluation of measurement uncertainty of electronic DC watt-hour meter [J]. Metrology & Measurement Technique, 2017, (12): 99-101.
[19]
Dong Naifei, Shao Zhiwei Evaluation of uncertainty of measurement results of comparison of simulated speed measurement values of motor vehicle radar velocimeter [J] Science and technology innovation, 2021 (11): 170-171.
[20]
Zeng Xiangjun, Pei Xiaoyuan, Luo Yiping, Cao Liuyan, song Xiaolin, Ma Ye Verification technology of DC watt hour meter based on pulse virtual power source [J] JOURNAL OF NORTHWEST UNIVERSITY (NATURAL SCIENCE EDITION), 2022,52 (01): 60-68 xdxbzr. 2022-01-007.
[21]
Zhu Xianyu, Li Qingxian, Liu Liangjiang, Wang Jinwei, Xiang De, Xiong Jie Discussion on the perfection of DC energy measurement traceability system [J] Measurement and testing technology, 2021,48 (10): 16-19 1004-6941.2021.10.006.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
IECC '22: Proceedings of the 4th International Electronics Communication Conference
July 2022
106 pages
ISBN:9781450397131
DOI:10.1145/3560089
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 September 2022

Permissions

Request permissions for this article.

Check for updates

Author Tag

  1. Multi-source data,Electric Energy,Traceability,Robust algorithm A,Metering comparison

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • Ministry of science and technology of the people's Republic of China

Conference

IECC 2022

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 14
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 08 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media