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
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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2023, Vol. 44 
