The Key Technologies for Powertrain System of Intelligent Vehicles Based on Switched Reluctance Motors: Recent Advancements in Connected Autonomous Vehicle Technologies, cartea 1
Autor Yueying Zhuen Limba Engleză Paperback – 19 sep 2022
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 1089.91 lei 6-8 săpt. | |
Springer Nature Singapore – 19 sep 2022 | 1089.91 lei 6-8 săpt. | |
Hardback (1) | 1095.78 lei 6-8 săpt. | |
Springer Nature Singapore – 19 sep 2021 | 1095.78 lei 6-8 săpt. |
Preț: 1089.91 lei
Preț vechi: 1329.15 lei
-18% Nou
Puncte Express: 1635
Preț estimativ în valută:
208.65€ • 216.88$ • 172.100£
208.65€ • 216.88$ • 172.100£
Carte tipărită la comandă
Livrare economică 06-20 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9789811648533
ISBN-10: 9811648530
Pagini: 381
Ilustrații: X, 381 p. 312 illus., 276 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.55 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Recent Advancements in Connected Autonomous Vehicle Technologies
Locul publicării:Singapore, Singapore
ISBN-10: 9811648530
Pagini: 381
Ilustrații: X, 381 p. 312 illus., 276 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.55 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Recent Advancements in Connected Autonomous Vehicle Technologies
Locul publicării:Singapore, Singapore
Cuprins
Modeling of SRM drive system for EV.- Electromagnetic analysis for SRM.- Optimization design for SRM in EVs.- Optimization and control of SRM drive system for EV applications.- Design and control of regenerative braking system.- Performance matching design for the vehicle drive system.- Torque Coordination Control of Distributed Drive Electric Vehicle with SRM.- Comprehensive control of in wheel SRM-suspension system.- Temperature filed analysis and optimization for the SRM.
Notă biografică
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.
Textul de pe ultima copertă
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.
Caracteristici
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