The invention relates to a training method for a prediction model of a parking behavior type of a vehicle. The training method at least comprises the following steps: acquiring historical driving data of the vehicle; obtaining driving data in a plurality of historical driving cycles from the historical driving data, wherein each historical driving cycle comprises an occurrence moment of at least one historical parking behavior; the duration time of the historical parking behavior is obtained from the driving data in the historical driving period, the type of the historical parking behavior is marked based on the duration time, and the type of the historical parking behavior comprises valid parking and invalid parking; and performing model training by taking the driving data in the plurality of historical driving cycles and the types of the historical parking behaviors corresponding to the historical driving cycles as training samples to obtain a prediction model for predicting the type of the new parking behavior of the vehicle. The invention also relates to a control method for a self-start-stop function of a vehicle, to a corresponding computer program product, to a corresponding training device, to a corresponding controller, and to a corresponding control system.
本发明涉及一种用于车辆的停车行为的类型的预测模型的训练方法,至少包括以下步骤:获取车辆的历史行驶数据;从历史行驶数据中获取多个历史行驶周期内的行驶数据,每个历史行驶周期包括至少一个历史停车行为的发生时刻;从历史行驶周期内的行驶数据中获取历史停车行为的持续时间,并基于持续时间标记历史停车行为的类型,历史停车行为的类型包括有效停车和无效停车;将多个历史行驶周期内的行驶数据和相应于历史行驶周期的历史停车行为的类型作为训练样本进行模型训练,得到预测模型,以用于预测车辆的新停车行为的类型。还涉及一种用于车辆的自启停功能的控制方法、相应的计算机程序产品、相应的训练装置、相应的控制器和一种相应的控制系统。
Parking type prediction model training method, and automatic start-stop control method and system
停车类型预测模型的训练方法、自启停的控制方法和系统
2023-12-22
Patent
Electronic Resource
Chinese
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