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Research on Remote Measurement Method of Off-board Conductive Charger for Electric Vehicle Based on Bayes Theory |
ZHOU Di1,ZHENG Wen-bin2,LI Lin-tong1,WEI Ming-chen2,QU Xi-song1,ZHENG Hui-zeng1 |
1. National Electric Vehicle Battery and Charging System Industry Measurement and Testing Center,Shenzhen Academy of Metrology & Quality Inspection,Shenzhen,Guangdong 518000,China
2. School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin,Heilongjiang 150080,China |
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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.
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Received: 01 March 2022
Published: 17 July 2023
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