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Li / Wang / Bian

The Intelligent Environment Friendly Vehicle

Concept, Architecture and Implementation

Medium: Buch
ISBN: 978-981-19-4853-4
Verlag: Springer Nature Singapore
Erscheinungstermin: 06.07.2024
Lieferfrist: bis zu 10 Tage
This book elaborates the fundamentals, new concepts and key technologies of the Intelligent Environment Friendly Vehicle (i-EFV), and the engineering implementation of these technologies such as structure sharing, data fusion and control coordination. With lots of illustrations, it summaries the authors’ research in the field of automotive intelligent technology and electric vehicle control for the past twenty years, enabling readers to grasp the essence of automotive power revolution, intelligent revolution and information revolution. Opening up new scientific horizons and fostering innovative thinking, the book is a valuable resource for researchers as well as undergraduate and graduate students.

Produkteigenschaften


  • Artikelnummer: 9789811948534
  • Medium: Buch
  • ISBN: 978-981-19-4853-4
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 06.07.2024
  • Sprache(n): Englisch
  • Auflage: 2023
  • Serie: Key Technologies on New Energy Vehicles
  • Produktform: Kartoniert, Paperback
  • Gewicht: 867 g
  • Seiten: 501
  • Format (B x H x T): 155 x 235 x 26 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Autoren

Li, Keqiang

Wang, Jianqiang

Bian, Mingyuan

Luo, Yugong

Introduction on Intelligent Environment Friendly Vehicle.- Fundamentals and Key Technologies of the Intelligent Environment Friendly Vehicle.- Structure Sharing of the Intelligent Environment Friendly Vehicle.- Data Fusion of the Intelligent Environment Friendly Vehicle.- Control Coordination of the Intelligent Environment Friendly Vehicle.- Eco-driving Control of Intelligent Electric Vehicles by means of Structure Sharing.- Adaptive Cruise Control of Intelligent Hybrid Electric Vehicles by means of Control Coordination.- Intelligent Charging and Power Exchange of Intelligent Electric Vehicles by means of Multi-Source Data Fusion.- Travel Planning of Intelligent Electric Vehicles by means of Multi-network Convergence and Vehicle-Infrastructure Cooperation.