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@ARTICLE{Rcker:910845,
author = {Rücker, Fabian and Schoeneberger, Ilka and Wilmschen, Till
and Sperling, Dustin and Haberschusz, David and Figgener,
Jan and Sauer, Dirk Uwe},
title = {{S}elf-sufficiency and charger constraints of prosumer
households with vehicle-to-home strategies},
journal = {Applied energy},
volume = {317},
issn = {0306-2619},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2022-04195},
pages = {119060},
year = {2022},
abstract = {In recent years, the market of electric vehicles has been
growing strongly. This growth is accompanied bydiscussions
on vehicle-to-home strategies that allow households with a
photovoltaic system and an electricvehicle both to charge
the vehicle with solar energy and to supply energy from the
vehicle to the household.However, vehicle-to-home technology
is still not yet widely implemented in prosumer households
and thereis still little literature about the impact of
technological constraints given by the hardware and
chargingprotocols on prosumer energy consumption. To close
this research gap, we develop heuristic
vehicle-to-homecharging strategies that aim to increase
self-sufficiency, vehicle availability and traction battery
lifetime. Wediscuss charging power constraints due to
technical limitations measured in the laboratory and
communicationprotocols. We investigate the impact of
charging power constraints, bidirectional charger capability
andforecasting algorithms on the self-sufficiency of the
prosumer household. The simulation model integrates
acomprehensive electric vehicle model, photovoltaic system
model and historic measurement data of prosumerand driving
profiles. We propose and simulate three different exemplary
mobility profile scenarios. Themobility scenarios differ in
their departure and arrival time distributions and are named
Worker, Half-timeWorker and Late Worker. The developed smart
charging strategies can increase the self-sufficiency of
thehousehold by up to 16.9 percentage points in comparison
to charging the vehicle with maximum power uponplug-in.
Decreasing the minimum charging power constraint from 4.1 kW
to 1.8 kW can increase self-sufficiencyby up to 10.5
percentage points. Smart charging strategies, the use of a
bidirectional charger, relaxation ofcharging power
constraints and the use of forecasting algorithms increase
the self-sufficiency of a prosumerhousehold with a
photovoltaic system and an electric vehicle.},
cin = {IEK-12 / JARA-ENERGY},
ddc = {620},
cid = {I:(DE-Juel1)IEK-12-20141217 / $I:(DE-82)080011_20140620$},
pnm = {1223 - Batteries in Application (POF4-122)},
pid = {G:(DE-HGF)POF4-1223},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000799956300009},
doi = {10.1016/j.apenergy.2022.119060},
url = {https://juser.fz-juelich.de/record/910845},
}