KI-unterstützte hybride Modellierung von Emissionen im hochtransienten Motorbetrieb

In der Entwicklung emissionsarmer Antriebstechnologien bieten batterieelektrische Fahrzeuge durch den hohen Gesamtwirkungsgrad und die lokal emissionsfreie Betriebsweise einen vielversprechenden Lösungsansatz. Gleichzeitig stehen ihnen Herausforderungen wie die notwendige Ladeinfrastruktur und in de...

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Bibliographic Details

Main Author:	Gehra, Tobias
Format:	Online
Language:	German
Published:	Logos Verlag Berlin 2025
Subjects:	Maschinelles Lernen Künstliche Intelligenz Fahrzeugantriebe Emissionen Simulation thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering::TGBN Engines and power transmission thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THF Fossil fuel technologies thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems
Online Access:	ONIX_20250425_9783832559403_16
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