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Sinopsis
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.
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Acerca del autor
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.
De la contraportada
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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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
Publicado por
Springer Fachmedien Wiesbaden, 2021
ISBN 10: 3658322128
ISBN 13: 9783658322120
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Glob. Nº de ref. del artículo: 449124970
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
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Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Jan 2021, 2021
ISBN 10: 3658322128
ISBN 13: 9783658322120
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 228 pp. Englisch. Nº de ref. del artículo: 9783658322120
Cantidad disponible: 2 disponibles
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
Publicado por
Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden, 2021
ISBN 10: 3658322128
ISBN 13: 9783658322120
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783658322120
Cantidad disponible: 1 disponibles
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9783658322120
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
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Springer Vieweg, 2021
ISBN 10: 3658322128
ISBN 13: 9783658322120
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
Publicado por
Springer Vieweg, 2021
ISBN 10: 3658322128
ISBN 13: 9783658322120
Antiguo o usado
Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 43502093
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Modeling and Dynamics Control for Distributed Drive Electric Vehicles
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26388250632
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