Debugging eines Elektroenergiespeicherfahrzeugs
4. Installieren der Debugging-Tools für Windows. Die Debugtools werden für den Debugger und das kdnet-Dienstprogramm verwendet und müssen installiert werden. Informationen zum Herunterladen und Installieren der Debugging-Tools finden Sie unter Debugging-Tools für Windows. Einrichten des Netzwerk-Debugging eines virtuellen Computers
What are EV faults?
The EV’s power train and energy storage, namely the electric motor drive and battery system, are critical components that are susceptible to different types of faults. Failure to detect and address these faults in a timely manner can lead to EV malfunctions and potentially catastrophic accidents.
How do EV fault detection methods work?
The conventional methods commonly used for fault detection of EVs are mainly model-based and signal-based. The lack of accuracy of the motor and battery models (especially during their lifespan) results in limitations and reduces the robustness and precision of the FDD.
Can DL be used for battery fault diagnostics in EV?
Additionally, DL for battery fault diagnostics in EV is being used more often in last couple of years. In this light, the purpose of this work is to highlight the potential of using DL in the context of EV battery fault diagnostics and prognostics.
Why is fault detection important in EV motor drive?
The EV battery is one of the major parts in this regard, which can have many limitations. It is always prone to different types of faults, some of which can be hazardous and even life threatening. To overcome these problems, fault detection and diagnosis of the battery are as crucial as fault detection in the EV motor drive.
What is a fault diagnosis method for lithium-ion batteries in electric vehicles?
Another work is which proposes a fault diagnosis method for lithium-ion batteries in electric vehicles based on multi-method fusion. This method discover what are the features of the vehicle that have a large influence on the battery fault which are later used by ConvLSTM.
Why is online fault detection important for EV operations?
It is reported that 30% of EV accidents stem from battery faults . Thus, developing reliable online fault detection and fault tolerant control is needed to guarantee safe and continuous EV operation. However, complex operations and other unpredictable factors make early fault detection challenging.
