The invention discloses an electric vehicle battery pack fault detection method. The method comprises the following steps of S1, collecting characteristic battery parameters of each single battery in a vehicle-mounted battery pack in real time; s2, inputting the collected characteristic battery parameters into an isolated forest model, and outputting an abnormal value of each single battery; and S3, carrying out fault judgment on the vehicle-mounted battery based on the abnormal value of each single battery. According to the vehicle-mounted battery pack fault detection based on the isolated forest model, the adaptability of vehicle-mounted battery fault detection is improved, and the accuracy of electric vehicle battery pack fault diagnosis is improved.
本发明公开一种电动汽车电池组故障探测方法,包括如下步骤:S1、实时采集车载电池组中每个单体电池的特征电池参数;S2、将采集到的特征电池参数输入孤立森林模型,输出各单体电池的异常值;S3、基于各个单体电池的异常值进行车载电池的故障判定。本发明基于孤立森林模型的车载电池组故障探测,提高车载电池故障探测的自适应性,提高了电动汽车电池组故障诊断的精度。
Electric vehicle battery pack fault detection method and system
一种电动汽车电池组故障探测方法及系统
2023-12-01
Patent
Elektronische Ressource
Chinesisch
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