Modeling and dynamics control for distributed drive electric vehicles / Xudong Zhang.
2021
TK2851
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Title
Modeling and dynamics control for distributed drive electric vehicles / Xudong Zhang.
Author
Zhang, Xudong
ISBN
9783658322137 (electronic bk.)
3658322136 (electronic bk.)
3658322128
9783658322120
3658322136 (electronic bk.)
3658322128
9783658322120
Publication Details
Wiesbaden : Springer Vieweg, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-658-32213-7 doi
Call Number
TK2851
Dewey Decimal Classification
621.46
Summary
Due to the improvements on electric motors and motor control technology, alternative vehicle power system layouts have been considered. One of the latest is known as distributed drive electric vehicles (DDEVs), which consist of four motors that are integrated into each drive and can be independently controllable. Such an innovative design provides packaging advantages, including short transmission chain, fast and accurate torque response, and so on. Based on these advantages and features, this book takes stability and energy-saving as cut-in points, and conducts investigations from the aspects of Vehicle State Estimation, Direct Yaw Moment Control (DYC), Control Allocation (CA). Moreover, lots of advanced algorithms, such as general regression neural network, adaptive sliding mode control-based optimization, as well as genetic algorithms, are applied for a better control performance. About the author Xudong Zhang received the M.S. degree in mechanical engineering from Beijing Institute of Technology, China, and the Ph. D. degree in mechanical engineering from Technical University of Berlin, Germany. Since 2017, he has joined in Beijing Institute of Technology as an Associate Research Fellow. His main research interests include vehicle dynamics control, autonomous vehicles, and power management of hybrid electric vehicles.
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Includes bibliographical references.
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Online resource; title from PDF title page (SpringerLink, viewed March 3, 2021).
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Modeling and dynamics control for distributed drive electric vehicles.
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Table of Contents
Introduction
Literature Review
Distributed Drive Electric Vehicle Model
Vehicle State and Tire Road Friction Coefficient Estimation
Direct Yaw Moment Controller Design
Stability Based Control Allocation Using KKT Global Optimization Algorithm
Energy Efficient Toque Allocation for Traction and Regenerative Braking
Simulation and Verification on the Proposed Model and Control Strategy
Conclusions and Future Work.
Literature Review
Distributed Drive Electric Vehicle Model
Vehicle State and Tire Road Friction Coefficient Estimation
Direct Yaw Moment Controller Design
Stability Based Control Allocation Using KKT Global Optimization Algorithm
Energy Efficient Toque Allocation for Traction and Regenerative Braking
Simulation and Verification on the Proposed Model and Control Strategy
Conclusions and Future Work.