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Unger, Johannes; Quasthoff, Marcus - Energy Efficient Non-Road Hybrid Electric Vehicles - 9783319297958 - V9783319297958
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Energy Efficient Non-Road Hybrid Electric Vehicles

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Description for Energy Efficient Non-Road Hybrid Electric Vehicles Paperback. Series: SpringerBriefs in Applied Sciences and Technology. Num Pages: 125 pages, 42 black & white illustrations, 9 colour illustrations, 50 colour tables, biography. BIC Classification: TGBN; TJFC; TRC. Category: (G) General (US: Trade). Dimension: 235 x 155 x 7. Weight in Grams: 209.

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. ... Read more

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.

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Product Details

Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
125
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology
Number of Pages
116
Place of Publication
Cham, Switzerland
ISBN
9783319297958
SKU
V9783319297958
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Unger, Johannes; Quasthoff, Marcus
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. ... Read more

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