Téléchargez le livre : Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles

Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles



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Springer Vieweg


Paru le : 2022-03-02



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Description
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.
Pages
120 pages
Collection
n.c
Parution
2022-03-02
Marque
Springer Vieweg
EAN papier
9783658369910
EAN PDF
9783658369927
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
3820 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
116,04 €
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.

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