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Figure 2 demonstrates what happens when a single-phase vehicle connects to the cluster (in addition to the green vehicle). As we can see, the single-phase (orange) vehicle can only charge on one of the three phases. However, since electric vehicles can only charge with the same electric current on all phases on which they are charging, the reduced available current for a three-phase vehicle on one of the phases to e.g. 6 A (Figure 2) will result in the fact that the vehicle will only be able to charge with 6 A on all three phases. Therefore, some electrical current on phases 2 and 3 will stay unused.
In addition to the number of phases a vehicle is able to charge on, the cluster power management algorithm takes into account the departure times of the vehicles in order to determine the charging priorities. The closer the vehicle's departure time, the higher the charging current the vehicle will be allowed to charge with. If a time of departure is not determined by the user of the vehicle, the power management algorithm will predict a departure time in 6 hours from the beginning of the charging session by default.
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Scenario 1 : A single-phase vehicle and a three-phase vehicle with different departure times and enough time to full charge
Let's say a green vehicle (3-phase) connects to the charging cluster and begins to charge. The more power the vehicle can charge with, the shorter the total charging time of the vehicle will be. In our case, the vehicle may charge with up to 32 A per phase, as this is the limit of the charger (Figure 3). We assume that the battery capacity of the green type of the vehicle has not been defined in the system, which means the cluster will assume that the battery capacity of the green vehicle is 100 kWh, and that the battery is empty. Therefore, the cluster will predict 100 kWh for charging the green vehicle and will start charging immediately.
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