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Optimales Energiemanagement mild elektrifizierter Antriebe unter realen Betriebsbedingungen mittels Prädiktionsalgorithmen aus dem Bereich des Maschinellen Lernens
Felix Deufel
2025
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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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Keywords
- Artificial Neural Networks
- Dynamic programming
- Dynamische Programmierung
- Energiemanagementstrategien
- energy management strategies
- Hybrid electric vehicles
- Hybridelektrische Fahrzeuge
- künstliche neuronale Netze
- Machine learning
- Maschinelles Lernen
Links
DOI: 10.5445/KSP/1000179948Editions