Energy Efficient Non-Road Hybrid Electric Vehicles (eBook)

Advanced Modeling and Control

Johannes Unger, Marcus Quasthoff, Stefan Jakubek (Autoren)

eBook Download: PDF

2016 | 1st ed. 2016
IX, 116 Seiten
Springer International Publishing (Verlag)
978-3-319-29796-5 (ISBN)

Infos

This book analyzes the main problems in the real-time control of parallel hybrid electric powertrains in non-road applications that work in continuous high dynamic operation. It also provides practical insights into maximizing the energy efficiency and drivability of such powertrains.

It introduces an energy-management control structure, which considers all the physical powertrain constraints and uses novel methodologies to predict the future load requirements to optimize the controller output in terms of the entire work cycle of a non-road vehicle. The load prediction includes a methodology for short-term loads as well as cycle detection methodology for an entire load cycle. In this way, the energy efficiency can be maximized, and fuel consumption and exhaust emissions simultaneously reduced.

Readers gain deep insights into the topics that need to be considered in designing an energy and battery management system for non-road vehicles. It also becomes clear that only a combination of management systems can significantly increase the performance of a controller.

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. 

Produkt-Details

• Erscheint lt. Verlag: 10.2.2016
• Reihe/Serie: SpringerBriefs in Applied Sciences and Technology
• Reihe/Serie: SpringerBriefs in Applied Sciences and Technology
• Zusatzinfo: IX, 116 p. 51 illus., 9 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Fahrzeugbau / Schiffbau
• Schlagworte: Hybrid power-train • Load and cycle prediction • Model Predictive Control • nonlinear system identification • Non-road hybrid electric vehicle (HEV) • Optimal model based design of experiments (DoE)
• ISBN-10: 3-319-29796-1 / 3319297961
• ISBN-13: 978-3-319-29796-5 / 9783319297965