Modeling, Dynamics, and Control of Electrified Vehicles
Coordonnateurs : Du Haiping, Cao Dongpu, Zhang Hui
Modelling, Dynamics and Control of Electrified Vehicles provides a systematic overview of EV-related key components, including batteries, electric motors, ultracapacitors and system-level approaches, such as energy management systems, multi-source energy optimization, transmission design and control, braking system control and vehicle dynamics control. In addition, the book covers selected advanced topics, including Smart Grid and connected vehicles. This book shows how EV work, how to design them, how to save energy with them, and how to maintain their safety.
The book aims to be an all-in-one reference for readers who are interested in EVs, or those trying to understand its state-of-the-art technologies and future trends.
Control, Automotive, System, Mechanical and Electric engineers
Dongpu Cao received the Ph.D. degree from Concordia University, Canada, in 2008. He is currently an Associate Professor at University of Waterloo, Canada. His research focuses on vehicle dynamics and control, automated driving and parallel driving, where he has contributed more than 100 publications and 1 US patent. He received the ASME AVTT’2010 Best Paper Award and 2012 SAE Arch T. Colwell Merit Award. Dr. Cao serves as an Associate Editor for IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE/ASME TRANSACTIONS ON MECHATRONICS and ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. He has been a Guest Editor for VEHICLE SYSTEM DYNAMICS, and IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS. He serves on the SAE International Vehicle Dynamics Standards Committee and a few ASME, SAE, IEEE technical committees.
Professor Zhang received his PhD degree in Mechanical Engineering from the University of Victoria, Canada and undertook three years of postdoctoral work at The Ohio State University, USA. He has published more than 70 peer-reviewed journal papers. Moreover, he has successfully organized 5 special issues for Mechanical Systems and Signal
Processing, Journal of The Franklin Institute, International Journal of Vehicle Design, IEEE Access, and Mechatronics.
- Offers a comprehensive knowledge of the multidisciplinary research related to EVs and a system-level understanding of technologies
- Provides the state-of-the-art technologies and future trends
- Covers the fundamentals of EVs and their methodologies
- Written by successful researchers that show the deep understanding of EVs
Date de parution : 10-2017
Ouvrage de 520 p.
15x22.8 cm
Thèmes de Modeling, Dynamics, and Control of Electrified Vehicles :
Mots-clés :
AEKF algorithm; Active front-wheel steering (AFS) system; Active-steering system; And model predictive control strategy; Antislip control; Automated manual transmissions; Battery; Battery aging; Brake blending; Charging control; Component sizing; Control strategy; DOF model; Direct yaw-moment control (DYC); Driveability; Driving force observer; Dual timescales; Dual-clutch transmissions; Dynamic programming; Electric ground vehicle; Electric vehicle; Electric vehicles; Electrified vehicle; Energy efficiency; Energy management; Energy management strategy; Energy-management strategy; Energy-to-peak control; Evaluation of models; Generalized dynamics control; Heuristic strategies; Hybrid electric vehicles; Hybrid energy system; Hybrid vehicles; In-wheel/hub motor; Integrated motor-transmission system; LPV control; Lithium-ion battery; Modeling; Optimization; Optimization-based strategies; Oscillation damping; Parameter estimation; Pitch control; Plug-in hybrid electric vehicle; Polytopic inclusions; Power-shifting transmissions; Range extension control; Regenerative brake; Regenerative braking; Renewable energy; Robust gain-scheduling control; Slip angle; State estimation; State of charge; Structure optimization; Ultracapacitor; Ultracapacitors; Vehicle lateral control; Vehicle velocity; Vehicle-grid interaction; Yaw moment observer
