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文章摘要
电动汽车充电桩电能计量误差检定和评估方法综述
Review of Electric Vehicle Charging Stations Energy Measurement Error Verification and Evaluation Methods
Received:December 14, 2024  Revised:January 07, 2025
DOI:
中文关键词: 交流充电桩  非车载充电机  电能计量性能  现场检定  数据驱动
英文关键词: AC  charging stations, off-board  charger, energy  metering performance, on-site  verification, data-drive  methods
基金项目:国网北京市电力公司科技项目(520223230018)
Author NameAffiliationE-mail
WANG Dawei State Grid Beijing Electric Power Company Electric Power Science Research Institute wangdawei@bj.sgcc.com.cn 
CHEN Xi State Grid Beijing Electric Power Company Electric Power Science Research Institute xchenaz@163.com 
MA Kang Tsinghua University mak77@mail.tsinghua.edu.cn 
FENG Guozheng State Grid Beijing Electric Power Company Electric Power Science Research Institute fengguozheng@bj.sgcc.com.cn 
LI Yongda State Grid Beijing Electric Power Company Electric Power Science Research Institute liyongda@bj.sgcc.com.cn 
ZHAO Wei Tsinghua University zhaowei@mail.tsinghua.edu.cn 
LI Shisong* Tsinghua University shisongli@tsinghua.edu.cn 
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中文摘要:
      充电桩电能计量的准确性是保证电动汽车充电电能交易公平的基石,也是保障电动汽车行业健康发展的关键因素,因此,定期对充电桩电能计量误差进行检定具有重要现实意义。本文分析了充电桩电能计量误差的产生机理,总结了现有的充电桩电能计量误差检定和评估技术,分析了当前已有方法的优缺点及发展方向;并指出,由于现场检定以及基于物理标准的远程检定技术存在高成本、低效率的本征缺点,导致其难以满足大规模充电桩电能计量误差定期检定的现实需求,因此,研发基于数据驱动的规模化评估方法已成为必然,在该发展方向,基于能量守恒原理和桩-桩量值比对原理的评估方法,未来有望成为充电桩电能计量性能的预评估方法,能助力实现规模不断增长充电桩的全面定期检定。
英文摘要:
      The accuracy of electric energy measurement at charging stations is the cornerstone for ensuring fair transactions in electric vehicle charging and is a key factor in the healthy development of the electric vehicle industry. Consequently, the periodic verification of electric energy measurement errors at charging stations holds significant importance. This paper begins with analyzing the mechanisms behind the generation of electric energy measurement errors in charging stations, followed by summarizing the existing techniques for the verification and assessment of electric energy measurement errors, and then discussing the strengths, weaknesses, and future directions of current methods. It is pointed out that due to the intrinsic drawbacks of high cost and low efficiency associated with on-site verification and remote verification based on physical standards, these techniques are challenging to meet the demand for regular verification of electric energy measurement errors in large-scale charging stations. Therefore, the data-driven large-scale assessment methods has become inevitable. In this direction, assessment methods based on the principle of energy conservation and the inter-station measurement comparison principle are expected to become a practical pre-assessment methods for the electric energy measurement performance of charging stations, aiding in the comprehensive regular verification of the ever-increasing number of charging stations.
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