With the rapid development of fast charging technology for electric vehicles,charging safety issues have become increasingly prominent.Real time monitoring of the vehicle status during the charging process and early warning of vehicle failures have become the focus of industry attention.This article is based on the multivariate state estimation technology.Firstly,the working conditions of the vehicle charging process are divided and the charging safety features are extracted.Then,the battery charging safety boundary models of the Multivariate State Estimation Technology are built for different working conditions.Finally,the standard deviation method is used to determine the charging anomaly warning threshold,realizing the safety monitoring and anomaly warning of the electric vehicle charging process.After verification,the accuracy of electric vehicle monitoring and warning using the above method is 91%,which can be used for safety warning and monitoring of charging processes for different brands of electric vehicles.
关键词
充电安全/电动汽车/多元状态估计算法/标准差法
Key words
Charging Safety/Electric Vehicle/Multiple State Estimation Technology/Standard Deviation Method
维普
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