Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Energy Efficient Non-Road Hybrid Ele...
~
SpringerLink (Online service)
Energy Efficient Non-Road Hybrid Electric Vehicles = Advanced Modeling and Control /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Energy Efficient Non-Road Hybrid Electric Vehicles/ by Johannes Unger, Marcus Quasthoff, Stefan Jakubek.
Reminder of title:
Advanced Modeling and Control /
Author:
Unger, Johannes.
other author:
Quasthoff, Marcus.
Description:
IX, 116 p. 51 illus., 9 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Renewable energy resources. -
Online resource:
https://doi.org/10.1007/978-3-319-29796-5
ISBN:
9783319297965
Energy Efficient Non-Road Hybrid Electric Vehicles = Advanced Modeling and Control /
Unger, Johannes.
Energy Efficient Non-Road Hybrid Electric Vehicles
Advanced Modeling and Control /[electronic resource] :by Johannes Unger, Marcus Quasthoff, Stefan Jakubek. - 1st ed. 2016. - IX, 116 p. 51 illus., 9 illus. in color.online resource. - SpringerBriefs in Applied Sciences and Technology,2191-530X. - SpringerBriefs in Applied Sciences and Technology,.
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 energy and battery management system for non-road vehicles and that only a combination of the management systems can significantly increase the performance of a controller.
ISBN: 9783319297965
Standard No.: 10.1007/978-3-319-29796-5doiSubjects--Topical Terms:
563364
Renewable energy resources.
LC Class. No.: TJ807-830
Dewey Class. No.: 621.042
Energy Efficient Non-Road Hybrid Electric Vehicles = Advanced Modeling and Control /
LDR
:02519nam a22003855i 4500
001
974260
003
DE-He213
005
20200704015414.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783319297965
$9
978-3-319-29796-5
024
7
$a
10.1007/978-3-319-29796-5
$2
doi
035
$a
978-3-319-29796-5
050
4
$a
TJ807-830
072
7
$a
THX
$2
bicssc
072
7
$a
TEC031010
$2
bisacsh
072
7
$a
THV
$2
thema
082
0 4
$a
621.042
$2
23
100
1
$a
Unger, Johannes.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1106011
245
1 0
$a
Energy Efficient Non-Road Hybrid Electric Vehicles
$h
[electronic resource] :
$b
Advanced Modeling and Control /
$c
by Johannes Unger, Marcus Quasthoff, Stefan Jakubek.
250
$a
1st ed. 2016.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
IX, 116 p. 51 illus., 9 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
SpringerBriefs in Applied Sciences and Technology,
$x
2191-530X
520
$a
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 energy and battery management system for non-road vehicles and that only a combination of the management systems can significantly increase the performance of a controller.
650
0
$a
Renewable energy resources.
$3
563364
650
0
$a
Electronic circuits.
$3
563332
650
0
$a
Automotive engineering.
$3
1104081
650
0
$a
Engines.
$3
1253521
650
0
$a
Machinery.
$3
990113
650
1 4
$a
Renewable and Green Energy.
$3
683875
650
2 4
$a
Circuits and Systems.
$3
670901
650
2 4
$a
Electronic Circuits and Devices.
$3
782968
650
2 4
$a
Automotive Engineering.
$3
683772
650
2 4
$a
Engine Technology.
$3
881220
700
1
$a
Quasthoff, Marcus.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1106012
700
1
$a
Jakubek, Stefan.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1106013
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319297958
776
0 8
$i
Printed edition:
$z
9783319297972
830
0
$a
SpringerBriefs in Applied Sciences and Technology,
$x
2191-530X
$3
1253575
856
4 0
$u
https://doi.org/10.1007/978-3-319-29796-5
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login