The invention relates to a storage battery power shortage early warning method and system, a medium and a program product, and relates to the technical field of storage batteries, and the method comprises the steps: collecting vehicle end original signal data based on a pre-configured signal collection demand; processing abnormal data in the vehicle-end original signal data to obtain vehicle-end signal data; performing feature extraction on the vehicle end signal data to obtain feature data; and inputting the feature data into a preset feature algorithm to obtain a power shortage risk probability. The method can be used for carrying out power shortage risk judgment and power shortage attribution analysis on the vehicle-mounted storage battery.
本发明涉及一种蓄电池亏电预警方法、系统、介质及程序产品,涉及蓄电池技术领域,所述方法包括基于预先配置的信号采集需求采集车端原始信号数据;对所述车端原始信号数据中的异常数据进行处理得到车端信号数据;对所述车端信号数据进行特征提取得到特征数据;将所述特征数据输入预设的特征算法得到亏电风险概率。本发明可用于对车载蓄电池进行亏电风险判断及亏电归因分析。
Storage battery power shortage early warning method and system, medium and program product
蓄电池亏电预警方法、系统、介质及程序产品
2024-05-03
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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