The invention relates to the field of intelligent control, and particularly discloses an intelligent charging control system which uses an artificial intelligence technology based on a deep learning model to perform feature extraction and coding on battery state data and environment state data so as to obtain a classification label that the current at the current time point should be increased or decreased. And thus. And by intelligently controlling the magnitude of the current, the efficiency of the battery is improved, and meanwhile, the safety of the charging process is also greatly guaranteed.

    本申请涉及智能控制领域,其具体公开了一种智能充换电控制系统,其使用基于深度学习模型的人工智能技术来对电池状态数据和环境状态数据进行特征提取和编码,以得到当前时间点的电流应增大或减小的分类标签。这样。通过智能控制电流的大小,提高了电池的效率,同时充电过程的安全性也得到了极大的保障。


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    Title :

    Intelligent battery charging and replacing control system


    Additional title:

    智能充换电控制系统


    Contributors:
    LIU FARONG (author) / LIU XIAOHUA (author) / LIU HUAQING (author)

    Publication date :

    2024-01-23


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

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



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