CC BY 4.0Groß, ArneArneGroßWille-Haußmann, BernhardBernhardWille-HaußmannWittwer, ChristofChristofWittwerAchzet, BenjaminBenjaminAchzetDiehl, MoritzMoritzDiehl2023-04-252023-04-252023Note-ID: 000065DAhttps://publica.fraunhofer.de/handle/publica/440470https://doi.org/10.24406/publica-125910.1109/TCST.2022.320882210.24406/publica-1259Battery systems gain popularity among users in residential household setups. In this setup, currently the main source of profitability is to increase photovoltaic (PV) self-sufficiency which is highly dependent on the battery system efficiency. We present a control approach based on stochastic dynamic programming (SDP) suitable to increase the system efficiency. The optimization framework includes a switched system with standby losses, a nonlinear modeling of the converter losses as well as a stochastic forecast model for household load and PV generation. We show in a simulation of a typical benchmark case that our approach can in fact reduce overall system losses and costs of operation. Then, the applicability in a real-world scenario is shown using a commercially available battery system in a field test.enEnergy storagePhotovoltaic systemsSwitched systemsStochastic optimal controljournal article