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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles

Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles

Shen, Tunan

Paperback

Series: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgar

Technology & Engineering

ISBN10: 3658369914
ISBN13: 9783658369910
Publisher: Springer Vieweg
Published: Mar 3 2022
Pages: 120
Weight: 0.42
Height: 0.33 Width: 5.83 Depth: 8.27
Language: English
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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