Energy Efficient Non-Road Hybrid Electric Vehicles: Advanced Modeling and Control: SpringerBriefs in Applied Sciences and Technology
Autor Johannes Unger, Marcus Quasthoff, Stefan Jakubeken Limba Engleză Paperback – 17 feb 2016
It introduces anenergy-management control structure, which considers all the physicalpowertrain constraints and uses novel methodologies to predict the future loadrequirements to optimize the controller output in terms of the entire workcycle of a non-road vehicle. The load prediction includes a methodology forshort-term loads as well as cycle detection methodology for an entire loadcycle. In this way, the energy efficiency can be maximized, and fuelconsumption and exhaust emissions simultaneously reduced.
Readers gain deepinsights into the topics that need to be considered in designing an energy andbattery management system for non-road vehicles. It also becomes clear thatonly a combination of management systems can significantly increase theperformance of a controller.
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Specificații
ISBN-13: 9783319297958
ISBN-10: 3319297953
Pagini: 116
Ilustrații: IX, 116 p. 51 illus., 9 illus. in color.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.19 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Applied Sciences and Technology
Locul publicării:Cham, Switzerland
ISBN-10: 3319297953
Pagini: 116
Ilustrații: IX, 116 p. 51 illus., 9 illus. in color.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.19 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Applied Sciences and Technology
Locul publicării:Cham, Switzerland
Notă biografică
Prof. Stefan Jakubek is head of the Christian Doppler Laboratory (CDL) for Model Based Calibration Methodologies at the Vienna University of Technology with research goals that include the development of new and integrated methodologies for model based calibration of automotive systems (combustion engines, powertrain systems, hybrid components) and the implementation of these methodologies in essential calibration tasks.
Dr.techn. Johannes Unger, has research interests in the field of the control of the parallel hybrid electric powertrains as well as the modelling of the battery for the purpose of high accurate state of charge estimation with his research already published in high ranked scientific journals. Previously, Mr. Unger and Prof. Jakubek have collaborated in the field of order reduction with the aim of decreasing computational demands for controllers with their research awarded the “NRW Young Scientist Award 2012”.
Dr.-Ing. Marcus Quasthoff, is employed at Liebherr Machines Bulle SA, Switzerland and is responsible for patent management and has responsibility for several research projects. In the Swiss Competence Center for Energy Research (SCCER) Dr.-Ing. Marcus Quasthoff is a board member, where he represents the topic chemical energy converters. Before he has joined Liebherr Machines Bulle SA, he was employed at MAN SE and has worked in the advanced development division in the department of alternative drive systems.
Dr.techn. Johannes Unger, has research interests in the field of the control of the parallel hybrid electric powertrains as well as the modelling of the battery for the purpose of high accurate state of charge estimation with his research already published in high ranked scientific journals. Previously, Mr. Unger and Prof. Jakubek have collaborated in the field of order reduction with the aim of decreasing computational demands for controllers with their research awarded the “NRW Young Scientist Award 2012”.
Dr.-Ing. Marcus Quasthoff, is employed at Liebherr Machines Bulle SA, Switzerland and is responsible for patent management and has responsibility for several research projects. In the Swiss Competence Center for Energy Research (SCCER) Dr.-Ing. Marcus Quasthoff is a board member, where he represents the topic chemical energy converters. Before he has joined Liebherr Machines Bulle SA, he was employed at MAN SE and has worked in the advanced development division in the department of alternative drive systems.
Textul de pe ultima copertă
Analyzing the main problems in the real-time control of parallel hybrid electric powertrains in non-road applications, which work in continuous high dynamic operation, this book gives practical insight in to how to maximize the energetic efficiency and drivability of such powertrains.
The book addresses an energy management control structure, which considers all constraints of the physical powertrain and uses novel methodologies for the prediction of the future load requirements to optimize the controller output in terms of an entire work cycle of a non-road vehicle. The load prediction includes a methodology for short term loads as well as for an entire load cycle by means of a cycle detection. A maximization of the energetic efficiency can so be achieved, which is simultaneously a reduction in fuel consumption and exhaust emissions.
Readers will gain a deep insight into the necessary topics to be considered in designing an energyand battery management system for non-road vehicles and that only a combination of the management systems can significantly increase the performance of a controller.
Caracteristici
Maximizes reader insights into the main problems in the real-time control of parallel hybrid electric powertrains in non-road applications working in continuous high dynamic operation Analyzes an energy-management control structure, which considersall the physical powertrain constraints and uses novel methodologies to predict the future load requirements Provides deepinsights into the topics that need to be considered in designing an energy andbattery management system for non-road vehicles Includes supplementary material: sn.pub/extras