(Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart)
by Tunan Shen
ISBNs: 3658369914, 978-3658369910, 9783658369910, B09TSLP123
English | 2022 | PDF | 4 MB | 144 Pages
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.
