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The Key Technologies for Powertrain System of Intelligent Vehicles Based on Switched Reluctance Motors

  • Book
  • © 2022

Overview

Authors:
  1. Yueying Zhu

    1. Tianjin University of Science and Technology, Tianjin, China

  • Comprehensively cover switched reluctance motor design, optimization, and control for vehicle applications
  • Systematically studies motor control strategies under driving and regenerative braking condition
  • Provides coordinating optimization method for drive system of electric vehicles

Part of the book series: Recent Advancements in Connected Autonomous Vehicle Technologies (RACAVT, volume 1)

  • 5657 Accesses

  • 7 Citations

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About this book

This book is intended for engineer’s in automotive industry and in research community of electrical machines. This book systematically focus on all the major aspects of switched reluctance motor for intelligent electric vehicle applications, including optimization design, drive system control, regenerative braking control, and motor-suspension system control, which is particularly suited for readers who are interested to learn the theory of the motor used for intelligent electric vehicles.The comprehensive and systematic treatment of practical issues around switched reluctance motor considering vehicle requirments is one of the major features of the book. The book can benefit researchers, engineers, and graduate students in fields of switched reluctance motor, electric vehicle drive system, regenerative braking system, motor-suspension system, etc.

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Modeling of SRM Drive System for EV

    • Yueying Zhu
    Pages 1-36

  3. Electromagnetic Analysis for SRM

    • Yueying Zhu
    Pages 37-79

  4. Optimization Design for SRM in EVs

    • Yueying Zhu
    Pages 81-114

  5. Optimization and Control of SRM Drive System for EV Applications

    • Yueying Zhu
    Pages 115-156

  6. Design and Control of Regenerative Braking System

    • Yueying Zhu
    Pages 157-214

  7. Performance Matching Design for the Vehicle Drive System

    • Yueying Zhu
    Pages 215-247

  8. Torque Coordination Control of Distributed Drive Electric Vehicle with SRM

    • Yueying Zhu
    Pages 249-284

  9. Comprehensive Control of in Wheel SRM-Suspension System

    • Yueying Zhu
    Pages 285-323

  10. Temperature Filed Analysis and Optimization for the SRM

    • Yueying Zhu
    Pages 325-381
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Authors and Affiliations

  • Tianjin University of Science and Technology, Tianjin, China

    Yueying Zhu

About the author

Dr. Yueying Zhu received the B.Sc. degree in transportation engineering and the M.Sc. degree in automotive engineering from the Harbin Institute of Technology, Weihai, China, in 2006 and 2008, and the Ph.D. degree in automotive engineering from the Harbin Institute of Technology, Harbin, China, in 2011. He was a visiting researcher with the Department of Mechanical & Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada, from 2018 to 2019. Currently, he is an associate professor with Tianjin University of Science and Technology, Tianjin, China. Before joining Tianjin University of Science and Technology, Dr. Yueying Zhu was a research engineer at China Automotive Technology And Research Center (CATARC) as a position of postdoctor from 2011 to 2014. He has authored/coauthored over 50 peer-reviewed papers in journals and conference proceedings. His current research interests include electric motor control for electric vehicle applications, electric vehicle dynamics and control, in-wheel motor design and control, and swiched reluctance motor control for electric vehicles.

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Bibliographic Information

  • Book Title: The Key Technologies for Powertrain System of Intelligent Vehicles Based on Switched Reluctance Motors

  • Authors: Yueying Zhu

  • Series Title: Recent Advancements in Connected Autonomous Vehicle Technologies

  • DOI: https://doi.org/10.1007/978-981-16-4851-9

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-16-4850-2Published: 19 September 2021

  • Softcover ISBN: 978-981-16-4853-3Published: 19 September 2022

  • eBook ISBN: 978-981-16-4851-9Published: 18 September 2021

  • Series ISSN: 2731-0027

  • Series E-ISSN: 2731-0035

  • Edition Number: 1

  • Number of Pages: X, 381

  • Number of Illustrations: 36 b/w illustrations, 276 illustrations in colour

  • Topics: Mechanical Engineering, Automotive Engineering, Control, Robotics, Mechatronics

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