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

Description: Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles by Tunan Shen Tunan Shen aims to increase the availability of powertrain systems for autonomous electric vehicles by improving the diagnostic capability for critical faults. 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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. Back Cover 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. Contents Background and State of the Art Diagnosis of Electrical Faults in Electric Machines Diagnosis of Mechanical Faults in Electric Machines Target Groups Researchers and students of mechanical engineering, especially automotive powertrains in electric vehicles Research and development engineers in this field About the Author 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. 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. Table of Contents Background and State of the Art.- Diagnosis of Electrical Faults in Electric Machines.- Diagnosis of Mechanical Faults in Electric Machines. Feature Increase diagnostic capability using multi-stage diagnostic models Details ISBN3658369914 Author Tunan Shen Language English Year 2022 ISBN-10 3658369914 ISBN-13 9783658369910 Format Paperback Publisher Springer Fachmedien Wiesbaden Edition 1st Imprint Springer Vieweg Place of Publication Weisbaden Country of Publication Germany Pages 120 Publication Date 2022-03-03 UK Release Date 2022-03-03 Illustrations 4 Illustrations, color; 57 Illustrations, black and white; XXXII, 120 p. 61 illus., 4 illus. in color. Edition Description 1st ed. 2022 Series Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart DEWEY 629.046 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:134824427;

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