TY - BOOK
T1 - Modeling and Dynamics Control for Distributed Drive Electric Vehicles
AU - Zhang, Xudong
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to SpringerFachmedien Wiesbaden GmbH, part of Springer Nature 2021.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - 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.
AB - 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.
KW - Direct Yaw Moment Control
KW - Distributed Drive Electric Vehicle
KW - Regenerative Braking Strategy
KW - Torque Allocation
KW - Vehicle Modeling
KW - Vehicle State Estimation
UR - http://www.scopus.com/inward/record.url?scp=85146027221&partnerID=8YFLogxK
U2 - 10.1007/978-3-658-32213-7
DO - 10.1007/978-3-658-32213-7
M3 - Book
AN - SCOPUS:85146027221
SN - 9783658322120
BT - Modeling and Dynamics Control for Distributed Drive Electric Vehicles
PB - Springer Fachmedien Wiesbaden
ER -