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Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles by Tunan Shen
Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles by Tunan Shen
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Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles

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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.

Author Biography:

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.
Release date Australia
March 3rd, 2022
Author
Audience
  • Professional & Vocational
Edition
1st ed. 2022
Illustrations
4 Illustrations, color; 57 Illustrations, black and white; XXXII, 120 p. 61 illus., 4 illus. in color.
Pages
120
ISBN-13
9783658369910
Product ID
35694662

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