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Illustration 5: Charging behaviour without in-
telligent charging management
yellow
forecast production
blue
forecast consumption
green
charging of storage system
Without intelligent charging management, the stor-
age system would immediately use the surplus to
charge the battery (until the maximum charging
power is reached). In this example, this behaviour
would result in the storage system being fully
charged before midday, meaning that the surplus
exceeding the feed-in limit after this point would
no longer be able to be stored in the battery.
To stay within the Feed-in limit [P. 12], the power of the PV system would need to be re-
duced. This would lead to an energy loss and therefore also a financial loss. Intelligent char-
ging management attempts to avoid fully charging the battery too early. To this end, the
storage system receives a charging plan for the day early in the morning from the server.
P
t
50%
12:00 13:00 14:00 15:00 16:00 17:00
11:00
10:00
9:00
8:00
7:00
6:00
10 kW
9 kW
8 kW
7 kW
6 kW
5 kW
4 kW
3 kW
2 kW
1 kW
0 kW
Illustration 6: Charging behaviour with intelli-
gent charging management
yellow
forecast production
blue
forecast consumption
green
charging of storage system
In this example, charging of the storage system is
avoided in the morning hours. At midday the stor-
age system is charged only enough so that the
feed-in limit can be observed.
Intelligent charging management adaptation
After commissioning the intelligent charging management system has to adapt to condi-
tions on site. The production forecast, for example, depends on the weather forecast and
the orientation, roof angle, shading, etc. of the PV system.
The consumption forecast depends on individual consumption and the electrical con-
sumers in use.
Statistical consumption and production data is required in order for intelligent charging
management to take these complex factors into account. Since none of this necessary in-
formation exists immediately after the storage system is installed, this data must first be
collected. For this reason, intelligent charging management requires approx. seven days
for calibration. During this time the charging behaviour may not be ideal. After these seven
days have passed, intelligent charging management will have adapted to match your indi-
vidual consumption and production profile.
Intelligent charging management limits
The effectiveness of intelligent charging management depends on how accurate the pro-
duction and consumption forecasts are.
Summary of Contents for sonnenBatterie eco 8.0/10
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