Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart

Shen, Tunan

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.

Details

Published by: Springer Vieweg

Publication Date: 2022-03-03

Format: Paperback

ISBN-13: 9783658369910

DOI: 10.1007/978-3-658-36992-7

Dimensions: 210cm x148cm

Pages: 120