Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles, (Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart)

 Tunan  Shen aims to increase the availability of powertrain systems for  autonomous electric vehicles by improving the diagnostic capability for  critical faults. Following the fault analysis of powertrain systems in  battery electric vehicles, the focus is on the electrical and mechanical  faults of the electric machine. A multi-level diagnostic approach is  proposed, which consists of multiple diagnostic models, such as a  physical model, a data-based anomaly detection model, and a neural  network model. To improve the overall diagnostic capability, a decision  making function is designed to derive a comprehensive decision from the  predictions of various operating points and different models.