東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Modeling and dynamics control for di...

Zhang, Xudong.

FindBook

Google Book

Amazon

博客來

Modeling and dynamics control for distributed drive electric vehicles

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling and dynamics control for distributed drive electric vehicles/ by Xudong Zhang.
作者:	Zhang, Xudong.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2021.,
面頁冊數:	xvii, 208 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Electric motors - Automatic control. -
電子資源:	https://doi.org/10.1007/978-3-658-32213-7
ISBN:	9783658322137

Modeling and dynamics control for distributed drive electric vehicles
Zhang, Xudong.

Modeling and dynamics control for distributed drive electric vehicles[electronic resource] /by Xudong Zhang. - Wiesbaden :Springer Fachmedien Wiesbaden :2021. - xvii, 208 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783658322137

Standard No.: 10.1007/978-3-658-32213-7doiSubjects--Topical Terms:

1530402
Electric motors
--Automatic control.

LC Class. No.: TK2851 / .Z436 2021

Dewey Class. No.: 621.46

Modeling and dynamics control for distributed drive electric vehicles
LDR:02766nmm a2200325 a 4500 001 2237500
003 DE-He213
005 20210628085644.0
006 m d
007 cr nn 008maaau
008 211111s2021 gw s 0 eng d
020 $a 9783658322137 $q (electronic bk.)
020 $a 9783658322120 $q (paper)
024 7 $a 10.1007/978-3-658-32213-7 $2 doi
035 $a 978-3-658-32213-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TK2851 $b .Z436 2021
072 7 $a TGBN $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a TGBN $2 thema
082 0 4 $a 621.46 $2 23
090 $a TK2851 $b .Z63 2021
100 1 $a Zhang, Xudong. $3 1285305
245 1 0 $a Modeling and dynamics control for distributed drive electric vehicles $h [electronic resource] / $c by Xudong Zhang.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Vieweg, $c 2021.
300 $a xvii, 208 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Electric motors $x Automatic control. $3 1530402
650 1 4 $a Engine Technology. $3 1774726
650 2 4 $a Automotive Engineering. $3 928032
650 2 4 $a Mechanical Engineering. $3 891038
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-658-32213-7
950 $a Engineering (SpringerNature-11647)