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。
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.
作者
周頔
郑文斌
李林潼
魏明晨
屈曦颂
郑惠政
ZHOU Di;ZHENG Wen-bin;LI Lin-tong;WEI Ming-chen;QU Xi-song;ZHENG Hui-zeng(National Electric Vehicle Battery and Charging System Industry Measurement and Testing Center Shenzhen Academy of Metrology&Quality Inspection,Shenzhen,Guangdong 518000,China;School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin,Heilongjiang 150080,China)
出处
《计量学报》
CSCD
北大核心
2023年第7期1107-1112,共6页
Acta Metrologica Sinica
基金
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)。
关键词
计量学
非车载充电机
远程计量
贝叶斯理论
metrology
off-board conductive charger
remote measurement
Bayes theory
