Predictive energy management for hybrid electric vehicles - Prediction horizon and battery capacity sensitivity
dc.contributor.author
Debert, Maxime
dc.contributor.author
Colin, Guillaume
dc.contributor.author
Chamaillard, Yann
dc.contributor.author
Guzzella, Lino
dc.contributor.author
Ketfi-Chérif, Ahmed
dc.contributor.author
Bellicaud, Benoit
dc.date.accessioned
2021-07-28T13:03:58Z
dc.date.available
2017-06-14T15:20:08Z
dc.date.available
2018-09-13T09:26:50Z
dc.date.available
2021-07-28T13:03:58Z
dc.date.issued
2010-07
dc.identifier.isbn
978-3-902661-72-2
en_US
dc.identifier.issn
1474-6670
dc.identifier.other
10.3182/20100712-3-DE-2013.00066
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/158697
dc.description.abstract
Increasing information about future driving conditions in vehicles makes predictive energy management realistic. This energy management strategy uses a dynamic programming algorithm on a sliding window in order to minimize the hybrid vehicle fuel consumption. For real time implementation, it is necessary to reduce computational time so as to embed this control on an automotive calculator. This paper focuses on the influence of the prediction horizon and battery capacity on CO2 emission in the case of a combined hybrid electric vehicle.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Hybrid vehicles
en_US
dc.subject
Energy Management
en_US
dc.subject
Predictive control
en_US
dc.subject
Optimal control
en_US
dc.subject
Dynamic programming
en_US
dc.subject
Battery
en_US
dc.title
Predictive energy management for hybrid electric vehicles - Prediction horizon and battery capacity sensitivity
en_US
dc.type
Conference Paper
dc.date.published
2016-04-23
ethz.book.title
6th IFAC Symposium on Advances in Automotive Control
en_US
ethz.journal.title
IFAC Proceedings Volumes
ethz.journal.volume
43
en_US
ethz.journal.issue
7
en_US
ethz.pages.start
270
en_US
ethz.pages.end
275
en_US
ethz.event
6th IFAC Symposium on Advances in Automotive Control (AAC 2010)
en_US
ethz.event.location
Munich, Germany
en_US
ethz.event.date
July 12-14, 2010
en_US
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::03286 - Guzzella, Lino (emeritus) / Guzzella, Lino (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::03286 - Guzzella, Lino (emeritus) / Guzzella, Lino (emeritus)
ethz.date.deposited
2017-06-14T15:24:14Z
ethz.source
ECIT
ethz.identifier.importid
imp59364d4df3ddb92847
ethz.ecitpid
pub:42796
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-08-03T08:38:38Z
ethz.rosetta.lastUpdated
2023-02-06T22:17:27Z
ethz.rosetta.versionExported
true
ethz.COinS
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