The invention discloses a residual charging duration prediction method and device, equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: obtaining a target charging parameter of a target vehicle; inputting the target charging parameter into a target prediction model corresponding to the target vehicle to obtain a residual charging time length; the target prediction model is obtained by training a first historical feature, a first historical label and an initial prediction model, the initial prediction model is obtained by inputting a second historical feature and a second historical label into a neural network model for training, and the second historical feature is obtained through a second historical sub-charging parameter; the second historical label is obtained through a second historical sub-charging duration, and the second historical sub-charging parameter and the second historical sub-charging duration are obtained through a voltage platform of the target vehicle, the cell type and second historical charging data. The method can improve the accuracy of the prediction result of the residual charging duration.
本申请公开了一种剩余充电时长的预测方法、装置、设备及存储介质,涉及计算机技术领域,该方法包括获取目标车辆的目标充电参数;将目标充电参数输入给目标车辆对应的目标预测模型,得到剩余充电时长;目标预测模型通过第一历史特征、第一历史标签和初始预测模型训练得到,初始预测模型通过将第二历史特征、第二历史标签输入神经网络模型训练得到,第二历史特征通过第二历史子充电参数得到,第二历史标签通过第二历史子充电时长得到,第二历史子充电参数和第二历史子充电时长通过目标车辆的电压平台、电芯类型和第二历史充电数据得到。该方法能够提高剩余充电时长的预测结果的准确度。
Prediction method and device for residual charging time, equipment and storage medium
一种剩余充电时长的预测方法、装置、设备及存储介质
2024-06-11
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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