基于贝叶斯理论的电动汽车非车载充电机远程计量方法的研究

doi:10.3969/j.issn.1000-1158.2023.07.16

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摘要基于贝叶斯理论展开分析,探究了非车载充电机的远程计量误差评估方法和不确定度评定方法,提出了基于贝叶斯方法的非车载充电机远程计量算法。算法基于网状充电过程数据,利用充电机与电动汽车多对多的网状关系,实现网状参数比对与量值传递。应用该算法对测试用例数据和实车充电数据进行计算处理,超差判定结果正确,实际估算误差不高于3%,证实了该算法在非车载充电机远程计量方面的有效性。

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	周頔
	郑文斌
	李林潼
	魏明晨
	屈曦颂
	郑惠政

关键词 ：计量学, 非车载充电机, 远程计量, 贝叶斯理论

Abstract：It conducts analysis based on Bayesian theory. The evaluation method of measurement uncertainty for off-board conductive charger is studied. It is proposed of a remote measurement algorithm based on Bayesian method. This algorithm realizes quantity-value transfer based on mesh charging process data. The result of the algorithm is correct in actual experiment. The actual estimate is off by less than 3%. The validity of the algorithm in remote measurement of off-board conductive charger is verified.

Key words： metrology;off-board conductive charger remote measurement Bayes theory;

收稿日期: 2022-03-01 发布日期: 2023-07-17

PACS:

TB971

基金资助:深圳市科技研发基金技术攻关面上项目(JSGG20201103093203017);深圳市科技计划(JCYJ20220818103416035);黑龙江省教育科学规划重点课题(GJB1421288,GJB1422053)

通讯作者: 郑文斌(1984-),黑龙江哈尔滨人,哈尔滨工业大学工程师,研究方向为人工智能与大数据分析,自动化测试与控制,新能源汽车与动力电池。Email:zhengwenbin@hit.edu.cn E-mail: zhengwenbin@hit.edu.cn

作者简介: 周頔(1983-),广东深圳人,深圳市计量质量检测研究院高级工程师,研究方向为新能源汽车计量检测技术,大数据分析。Email:zhoudi@smq.com.cn

引用本文:

周頔,郑文斌,李林潼,魏明晨,屈曦颂,郑惠政. 基于贝叶斯理论的电动汽车非车载充电机远程计量方法的研究[J]. 计量学报, 2023, 44(7): 1107-1112.
ZHOU Di,ZHENG Wen-bin,LI Lin-tong,WEI Ming-chen,QU Xi-song,ZHENG Hui-zeng. Research on Remote Measurement Method of Off-board Conductive Charger for Electric Vehicle Based on Bayes Theory. Acta Metrologica Sinica, 2023, 44(7): 1107-1112.

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http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2023.07.16 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2023/V44/I7/1107

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