The invention relates to the field of intelligent charging, and particularly discloses an intelligent charging system and a working method thereof, which extract correlation characteristics among charging data such as voltage, current, temperature, pressure and the like of a battery monomer which are acquired in real time through a characteristic encoder, and meanwhile, store the correlation characteristics among the charging data, such as the voltage, the current, the temperature, the pressure and the like, of the battery monomer. In addition, a convolutional neural network model based on a deep learning technology is adopted to mine high-dimensional implicit features of the electrolyte surface image, and a Gaussian density map is applied to fuse the charging feature vector and the surface feature vector, so that the classification result is more accurate. Therefore, a more accurate control type of the charging current can be obtained to judge whether the charging current needs to be increased, decreased or maintained, so that the charging effect can be better.
本申请涉及智能充电的领域,其具体地公开了一种智能充电系统及其工作方法,其通过特征编码器来提取出经过实时地采集电池单体的电压、电流、温度、压力等充电数据之间的关联特征,同时,还采用基于深度学习技术的卷积神经网络模型来挖掘出电解液表面图像的高维隐含特征,并且应用了高斯密度图来融合所述充电特征向量和所述表面特征向量,以使得分类的结果更为准确。这样,可以得到较为准确的充电电流的控制类型,以用来判断充电电流应增大、减小,还是维持,从而就可以使得充电的效果更好。
Intelligent charging system and working method thereof
智能充电系统及其工作方法
13.05.2022
Patent
Elektronische Ressource
Chinesisch
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06K Erkennen von Daten , RECOGNITION OF DATA / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung |
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