Modeling and Control of Hybrid Propulsion System for Ground Vehicles
Autor Yuan Zou, Junqiu Li, Xiaosong Hu, Yann Chamaillarden Limba Engleză Hardback – 11 iul 2018
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Specificații
ISBN-13: 9783662536711
ISBN-10: 3662536714
Pagini: 400
Ilustrații: IX, 328 p. 238 illus., 122 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.65 kg
Ediția:1st ed. 2018
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3662536714
Pagini: 400
Ilustrații: IX, 328 p. 238 illus., 122 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.65 kg
Ediția:1st ed. 2018
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Cuprins
Introduction.- Architecture of hybrid propulsion for ground vehicles.- Modeling and simulation of hybrid propulsion.- Lithium-ion battery modeling and identification.- Optimal control of hybrid propulsion of ground vehicles.- Non-linear programming method of hybrid propulsion for ground vehicles.- Optimal design and control of wheeled hybrid vehicles.- Optimal design and control of tracked hybrid vehicles.
Textul de pe ultima copertă
This book focuses on the systematic design of architectures, parameters and control of typical hybrid propulsion systems for wheeled and tracked vehicles based on a combination of theoretical research and engineering practice. Adopting a mechatronic system dynamics perspective, principles and methods from the fields of optimal control and system optimization are applied in order to analyze the hybrid propulsion configuration and controller design. Case investigations for typical hybrid propulsion systems of wheeled and tracked ground vehicles are also provided.
Caracteristici
Covers hybrid propulsion systems for wheeled and tracked ground vehicles, including hybrid commercial trucks, high-speed tracked vehicles, and bulldozers
Simultaneously addresses propulsion architectures, parameters and control aspects
Combines optimal control design and implementation based on experimental validation
Simultaneously addresses propulsion architectures, parameters and control aspects
Combines optimal control design and implementation based on experimental validation