Dispatch-based charging for electric vehicle fleet

1. A method for selecting a charging rate for an electric vehicle (EV) comprising:

determining an available dispatch time for the EV based on a current charge level of a battery of the EV, a first charging rate, and a target charge level;

identifying a segment of a fleet of EVs, the segment comprising the EV;

retrieving a predicted demand curve for the segment of the fleet of EVs, the predicted demand curve calculated based on previous demands on the segment of EVs;

determining an anticipated dispatch time for the EV based on the predicted demand curve;

in response to determining that the available dispatch time is earlier than the anticipated dispatch time, selecting a second charging rate that is lower than the first charging rate; and

instructing the EV to be charged at the second charging rate.

2. The method of claim 1 , wherein the available dispatch time is a time at which the battery of the EV reaches the target charge level.

3. The method of claim 2 , wherein determining the available dispatch time further comprises:

determining a predicted usage of the EV following charging of the EV;

calculating, as the target charge level, a charge level of the battery of the EV that is sufficient for carrying out the predicted usage of the EV; and

determining the available dispatch time as a time at which the battery of the EV, being charged at the first charging rate, reaches the target charge level.

4. The method of claim 1 , wherein the first charging rate is a maximum charging rate provided by a charging station available to an EV for charging the battery of the EV.

5. The method of claim 1 , wherein determining the anticipated dispatch time for the EV further comprises:

retrieving segment data describing EVs in the segment of the fleet of EVs, the segment data comprising at least one of location information for the EVs in the segment, battery levels for the EVs in the segment, and assignments of the EVs in the segment; and

determining the anticipated dispatch time for the EV further based on the retrieved segment data.

6. The method of claim 1 , wherein the second charging rate is a rate that charges the battery of the EV to at least the target charge level in time for the anticipated dispatch time.

7. The method of claim 1 , wherein selecting the second charging rate further comprises:

determining a power draw on the battery of the EV during charging of the EV; and

calculating the second charging rate as a rate that charges the battery of the EV to at least the target charge level in time for the anticipated dispatch time, accounting for the power draw on the battery during charging of the EV.

8. The method of claim 1 , further comprising:

calculating a charging rate curve, the charging rate curve comprising the second charging rate and at least a third charging rate, wherein the battery of the EV is charged at the second charging rate for a first period of time and the battery of the EV is charged at the third charging rate for a second period of time.

9. The method of claim 8 , wherein the second charging rate is zero, and during the first period of time the battery of the EV does not receive a charge.

10. The method of claim 1 , further comprising:

retrieving data describing degradation costs on the battery based on at least one of charging rates and charge levels;

retrieving data describing anticipated energy costs for charging the battery; and

calculating the second charging rate as an optimal charging rate that minimizes overall costs on the battery based on the retrieved degradation cost data and anticipated energy cost data.

11. The method of claim 1 , further comprising:

retrieving data describing weather conditions in an environment of the EV;

determining an anticipated power draw on the battery of the EV during a predicted usage of the EV based on the weather conditions; and

determining the available dispatch time based on the anticipated power draw.

12. The method of claim 1 , further comprising:

retrieving data describing a projected route for the EV;

determining an anticipated power draw on the battery of the EV based on the data describing the projected route; and

determining the available dispatch time based on the anticipated power draw.

13. The method of claim 1 , wherein the first charging rate is a charging rate provided by a first type of charger having a first maximum charging rate, the method further comprising:

determining that the second charging rate is less than a second maximum charging rate provided by a second type of charger, the second maximum charging rate less than the first maximum charging rate; and

instructing the EV to maneuver to the second type of charger for charging at the second charging rate.

14. A system for charging an electric vehicle (EV) of a fleet of EVs comprising:

a charging manager configured to:

determine an available dispatch time for the EV based on a current charge level of a battery of the EV and a first charging rate,

identify a segment of the fleet of EVs, the segment comprising the EV;

retrieve a predicted demand curve for the segment of the fleet of EVs, the predicted demand curve calculated based on previous demands on the segment of EVs;

determine an anticipated dispatch time for the EV based on the predicted demand curve, and

in response to determining that the available dispatch time is earlier than the anticipated dispatch time, select a second charging rate that is lower than the first charging rate; and

a charging station configured to:

receive an instruction to charge the EV at the second charging rate, and

charge the EV at the second charging rate.

15. The system of claim 14 , wherein the charging manager is further configured to:

determine a power draw on the battery of the EV during charging of the EV; and

calculate the second charging rate as a rate that charges the battery of the EV in time for the anticipated dispatch time, accounting for the power draw on the battery during charging of the EV.

16. The system of claim 14 , wherein the charging manager is further configured to:

retrieve data describing degradation costs on the battery based on at least one of charging rates and charge levels;

retrieve data describing anticipated energy costs for charging the battery; and

calculate the second charging rate as an optimal charging rate that minimizes overall costs on the battery based on the retrieved degradation cost data and anticipated energy cost data.

17. A non-transitory computer-readable medium storing instructions for selecting a charging rate for an electric vehicle (EV), the instructions, when executed by a processor, cause the processor to:

determine an available dispatch time for the EV based on a current charge level of a battery of the EV, a first charging rate, and a target charge level;

identify a segment of a fleet of EVs, the segment comprising the EV;

retrieve a predicted demand curve for the segment of the fleet of EVs, the predicted demand curve calculated based on previous demands on the segment of EVs;

determine an anticipated dispatch time for the EV based on the predicted demand curve;

in response to determining that the available dispatch time is earlier than the anticipated dispatch time, select a second charging rate that is lower than the first charging rate; and

instruct the EV to be charged at the second charging rate.

18. The non-transitory computer-readable medium of claim 17 , wherein the instructions for selecting the second charging rate cause the processor to:

determine a power draw on the battery of the EV during charging of the EV; and

calculate the second charging rate as a rate that charges the battery of the EV in time for the anticipated dispatch time, accounting for the power draw on the battery during charging of the EV.

19. The non-transitory computer-readable medium of claim 17 , wherein the instructions for selecting the second charging rate cause the processor to:

retrieve data describing degradation costs on the battery based on at least one of charging rates and charge levels;

retrieve data describing anticipated energy costs for charging the battery; and

calculate the second charging rate as an optimal charging rate that minimizes overall costs on the battery based on the retrieved degradation cost data and anticipated energy cost data.