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Optimales Energiemanagement mild elektrifizierter Antriebe unter realen Betriebsbedingungen mittels Prädiktionsalgorithmen aus dem Bereich des Maschinellen Lernens
Materialtyp:
ArtikelSerie: Utgivningsinformation: Karlsruhe, Germany KIT Scientific Publishing KIT Scientific Publishing [Imprint] 2025Beskrivning: 1 electronic resource (296 p.)Innehållstyp: - text
- computer
- online resource
- 9783731514268
- Technology, Engineering, Agriculture, Industrial processes
- Dynamische Programmierung
- Energiemanagementstrategien
- Hybrid electric vehicles
- Hybridelektrische Fahrzeuge
- Künstliche Neuronale Netze
- Maschinelles Lernen
- artificial neural networks
- dynamic programming
- energy management strategies
- machine learning
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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 savings potential.
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