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Method and apparatus for determining a residual useful life based on a predictive diagnosis of components of an electric drive system using artificial intelligence methods

机译:用于基于使用人工智能方法对电驱动系统的部件进行预测诊断来确定剩余使用寿命的方法和设备

摘要

The invention relates to a computer-implemented method for providing a residual useful life based on a diagnosis of components (44, 45, 46, 47) of an electric drive system (43) in a vehicle, with the following steps:– Detection of a plurality of operating variables (F) comprising at least one sensor size and/or at least one control variable in the vehicle;-Use multiple diagnostic models (13, 14, 15, 16) for multiple error types, each of which is designed to detect a specific error type in one of the components (44, 45, 46, 47) based on at least a part of the plurality of operating variables (F) and signal a corresponding error information associated with the error type;– Determine (S8, S9) a residual service life using a residual service model (17) depending on the signaled error information of the multiple diagnostic models (13, 14, 15, 16), wherein the residual service model (17) is designed to indicate a residual service life depending on error information of several diagnostic models;-Indicate the remaining useful life.
机译:本发明涉及一种计算机实现的方法,用于基于对车辆中的电驱动系统(43)的部件(44、45、46、47)的诊断提供剩余使用寿命,包括以下步骤:–检测多个操作变量(F),包括车辆中的至少一个传感器尺寸和/或至少一个控制变量-对多个错误类型使用多个诊断模型(13、14、15、16),每个诊断模型设计用于基于多个操作变量(F)的至少一部分检测其中一个组件(44、45、46、47)中的特定错误类型,并发送与错误类型相关联的相应错误信息根据多个诊断模型(13、14、15、16)的信号错误信息,使用剩余服务模型(17)确定(S8、S9)剩余服务寿命,其中剩余服务模型(17)被设计为根据多个诊断模型的错误信息指示剩余服务寿命-指出剩余使用寿命。

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