Optimales Energiemanagement mild elektrifizierter Antriebe unter realen Betriebsbedingungen mittels Prädiktionsalgorithmen aus dem Bereich des Maschinellen Lernens

This study explores energy management for hybrid electric vehicles. It analyzes strategies for system design and vehicle implementation. Focus is on ECMS, DP, and PMP. Predictive energy management and data-driven methods like Markov Chains, FFNN, and RNN are discussed. Online-ECMS shows significant...

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Autore principale:	Deufel, Felix
Natura:	Online
Lingua:	tedesco
Pubblicazione:	KIT Scientific Publishing 2025
Soggetti:	Hybridelektrische Fahrzeuge Energiemanagementstrategien Maschinelles Lernen Künstliche Neuronale Netze Dynamische Programmierung Hybrid electric vehicles energy management strategies machine learning artificial neural networks dynamic programming thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
Accesso online:	ONIX_20251202T160246_9783731514268_36
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