Energy Efficient Non-Road Hybrid Electric Vehicles / SpringerBriefs in Applied Sciences and Technology (PDF)
Advanced Modeling and Control
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Johannes Unger, Marcus Quasthoff, Stefan Jakubek
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.
Bibliographische Angaben
- Autoren: Johannes Unger , Marcus Quasthoff , Stefan Jakubek
- 2016, 1st ed. 2016, 116 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319297961
- ISBN-13: 9783319297965
- Erscheinungsdatum: 10.02.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 13 MB
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Sprache:
Englisch
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