The invention relates to the field of intelligent charging of electric vehicles, and particularly discloses a self-adaptive charging system for an electric vehicle and a working method of the self-adaptive charging system. According to the method, high-dimensional features in a charging waveform image are extracted by setting parameters of a convolution kernel of each layer in a convolutional neural network, and training of the neural network is further promoted by utilizing a'controller 'technology of the neural network of a search space and a search state; and characteristic values or a combination of the characteristic values in the characteristic vectors are subjected to parameter training of a classifier to realize regression, so that image classification is realized through explicit expression of nonlinear characteristics including harmonic waves, sudden change, unsteady state signals and the like in the image. By means of the mode, end-to-end self-adaptive adjustment of a plurality of electric vehicles which are charged at the same time can be achieved at a time, and therefore the system performance of the self-adaptive charging system for the electric vehicles is improved.

    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自适应充电系统及其工作方法。其通过对于卷积神经网络中的各层的卷积核的参数设置来提取充电波形图像中的高维特征,同时利用搜索空间和搜索状态的神经网络的“控制器”技术来进一步地促进所述神经网络的训练,并且将所述特征向量中的特征值或者特征值的组合通过分类器的参数训练来实现回归,以通过对于所述图像中的包含谐波、骤变以及非稳态信号等的非线性特征的显式表达来实现图像的分类。通过上述方式,可以一次性地实现同时充电的多部电动汽车的端到端的自适应调整,从而提高用于电动汽车的自适应充电系统的系统性能。


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    Titel :

    Self-adaptive charging system for electric vehicle and working method of self-adaptive charging system


    Weitere Titelangaben:

    用于电动汽车的自适应充电系统及其工作方法


    Beteiligte:
    YU LONGSHAN (Autor:in)

    Erscheinungsdatum :

    2022-03-01


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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