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Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles

Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles

Tunan Shen

Springer Vieweg
Collection: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart
Publication date : 2022-03-02

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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.

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About the book

Author

Tunan Shen

Imprint

Springer Vieweg

Collection

Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart

Publication date

2022-03-02

Pages

120 pages

Print ISBN

9783658369910

Language

English

Ebook informations

EAN PDF

9783658369927

Price

£109.50

Copy count 1

Print count 12

File size 3820 Ko

Informations accessibility

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About author(s)

Tunan Shen

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