Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles - Couverture souple

Shen, Tunan

Couverture souple

ISBN 10 : 3658369914 ISBN 13 : 9783658369910

Editeur : Springer Vieweg, 2022

Synopsis

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.

A propos du livre

À propos de l'auteur

Tunan Shen did his PhD project at the Institute of Automotive Engineering (IFS), University of Stuttgart, Germany. Currently he is Software Developer for Cross Domain Computing Solutions at a German automotive supplier.

Détails de l'édition

• Éditeur: Springer Vieweg
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 3658369914
• ISBN 13: 9783658369910
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 152
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne