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目的:电动汽车充电桩传统检定方式存在检定效率低、成本高等问题，为此本文设计一种基于云平台的检定系统，以提高检定效率。方法:建立云平台系统，实现校验仪与微信小程序之间的远程数据传输，自动采集与上传检定数据；在检定现场，通过微信小程序录入必要信息；通过系统后台进行数据审核和监督；自动处理原始数据、生成检定证书。系统采用分权管理模式，可赋予检定员与远程辅助人员不同的操作权限。数据传输采用对称与非对称密钥加密技术，保证检定工作的可信度。校验仪的硬件采用双AD采样方案，实现高精度的采样，提高测量准确度。结果:采用本检定系统对充电桩开展检定实验，评估结果显示，检定结果的不确定度满足检定要求。对系统的计量标准装置(检验仪)进行了稳定性测试，证实其长期稳定性达到0.05级标准装置要求。结论:本系统依托云平台及远程数据传输技术，高效完成了检定任务，显著提高了检定效率，在充电桩计量检定监管领域具有重要应用价值。
Abstract：Aims: In the verification process of EV supply equipment(EVSE), there exists problems such as low verification efficiency and high cost. Therefore, this work designs a verification system based on a cloud platform to improve the verification efficiency. Methods: A cloud platform was established for remote data transmission between the calibrator and the WeChat mini-program, enabling the automatic collection and upload of verification data, the input of necessary information through the mini-program, the review and supervision of backend data, and the automatic processing of original verification data and the generation of certificates. Based on the hierarchical management mode, different operation permissions were assigned to the verification personnel and the remote auxiliary personnel. The system used symmetric and asymmetric key encryption technologies to transmit verification data, ensuring the credibility of the verification work. The calibrator achieved high-precision sampling based on the dual-AD scheme, which improved the measurement accuracy. Results: The developed verification system was used to carry out verification on EVSE; and the uncertainty of the verification results was evaluated. The uncertainty met the verification requirements. At the same time, the stability of the calibrator used in the system was tested; and the results showed that it met the accuracy class 0.05. Conclusions: Based on the cloud platform and remote data transmission, this system can complete on-site verification work, improves verification efficiency, and have good application value in the field of metrological verification and supervision of EVSE.
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基本信息:
DOI：
中图分类号:TM910.6;U491.8
引用信息:
[1]缪鹏,邵海明,蔡晋辉,等.基于云平台的电动汽车充电桩检定系统[J].中国计量大学学报,2025,36(02):186-195.
基金信息:
国家重点研发计划项目(No.2022YFB2403800)