[Literature] Charging strategies
Niklas...@dlr.de
Hello fellow researchers,
this is another example of interesting literature modeling different charging decision strategies and comparing naïve (uncontrolled), rule-based, optimized and reinforcement learning-based charging decision algorithms. The scope is very narrow: A household with PV feed-in and an EV, the target is to maximize both PV self-consumption and SOC on departure. I thought this may be interesting for one or another on this list (especially the EV tool guys).
Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation
https://doi.org/10.1016/j.apenergy.2021.117504
Best regards
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Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
German Aerospace Center
Institute of Networked Energy Systems | Energy Systems Analysis | Curiestraße 4 | 70563 Stuttgart | Germany
Niklas Wulff | Ph.D. Candidate
Telephone +49 711 6862 348 | niklas...@dlr.de
