The invention relates to the field of intelligent charging of electric vehicles, and particularly discloses a charging alarm system for an electric vehicle and a working method thereof, and the system employs a convolutional neural network model of a deep learning technology to extract high-dimensional implicit features of a magnetic field distribution diagram based on the magnetic field distribution of a transmitting coil and a receiving coil. And high-dimensional correlation feature information between the magnetic field distribution of the transmitting coil and the magnetic field distribution of the receiving coil is fused by using a Gaussian density map, so that the classification result is more accurate. In this way, the type of the foreign matter can be accurately recognized, and therefore different alarm levels are set based on different types.

    本申请涉及电动汽车智能充电的领域,其具体地公开了一种用于电动汽车的充电报警系统及其工作方法,其采用深度学习技术的卷积神经网络模型以基于发射线圈和接收线圈的磁场分布来提取出所述磁场分布图的高维隐含特征,并且还利用高斯密度图来融合所述发射线圈和所述接收线圈的磁场分布之间的高维关联特征信息,以使得分类的结果更加准确。通过这样的方式,能够对异物的类型进行准确地识别,从而基于不同的类型设置不同的报警等级。


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    Title :

    Charging alarm system for electric automobile and working method of charging alarm system


    Additional title:

    用于电动汽车的充电报警系统及其工作方法


    Contributors:
    YU LONGSHAN (author)

    Publication date :

    2022-03-22


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme



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