The invention provides a vehicle-cloud collaborative fault prediction method and system, a storage medium and a vehicle, and the method comprises the steps: obtaining ECU data of a target vehicle in a current period every first preset time, and classifying the ECU data in the current period according to a final data classification model, the classification result comprising conventional data or gradual data or sudden data; judging whether the ECU data of the current period needs to be subjected to fault prediction or not according to a classification result; if the ECU data of the current period is abrupt change data, sending fault early warning information within a second preset time, and sending the ECU data of the current period to a cloud for fault identification; if the ECU data of the current period is gradient data, sending the ECU data of the current period to a cloud within a third preset time for fault identification; and sending or updating fault early warning information to the target vehicle according to the fault identification result. According to the invention, the fault prediction real-time performance can be improved, and the vehicle cloud data interaction strategy can be optimized.
本申请提出一种车云协同的故障预测方法、系统、存储介质及车辆,该方法包括:每隔第一预设时间获取目标车辆在当前周期的ECU数据,并根据最终数据分类模型对所述当前周期的ECU数据进行分类,分类结果包括常规数据或渐变数据或突变数据;根据分类结果判断所述当前周期的ECU数据是否需要进行故障预测;若所述当前周期的ECU数据为突变数据,则在第二预设时间内发出故障预警信息,并将所述当前周期的ECU数据发送到云端进行故障识别;若所述当前周期的ECU数据为渐变数据,则在第三预设时间内将所述当前周期的ECU数据发送到云端进行故障识别;根据故障识别结果向目标车辆发出或更新故障预警信息。本申请能够提高故障预测实时性,和优化车云数据交互策略。
Vehicle-cloud cooperative fault prediction method and system, storage medium and vehicle
一种车云协同的故障预测方法、系统、存储介质及车辆
2024-06-07
Patent
Electronic Resource
Chinese
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