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Energieoptimale Längsführung von Kraftfahrzeugen durch Einsatz vorausschauender Fahrstrategien

dc.contributor.authorRadke, Tobias*
dc.date.accessioned2021-02-11T12:31:39Z
dc.date.available2021-02-11T12:31:39Z
dc.date.issued2013*
dc.date.submitted2019-07-30 20:01:58*
dc.identifier34522*
dc.identifier.issn18696058*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/46364
dc.description.abstractThe present work deals with energy-optimal longitudinal vehicle control, which incorporates predictively known route data to realise a maximally fuel-efficient driving strategy while comprising the drivers demand. To solve this optimisation problem, a resource-efficient algorithm is developed and implemented within a prototypical embedded driver assistance system for automated longitudinal control. The system achieves fuel savings of approximately 10%.*
dc.languageGerman*
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.otherFahrerassistenz*
dc.subject.otherPrädiktion*
dc.subject.otherFahrstrategie*
dc.subject.otherKraftstoffverbrauch*
dc.subject.otherBetriebsstrategie*
dc.titleEnergieoptimale Längsführung von Kraftfahrzeugen durch Einsatz vorausschauender Fahrstrategien*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000035819*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731500698*
oapen.pages195 p.*
oapen.volume19*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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