Systems and methods for dynamically allocating energy among exchangeable energy storage device stations

1. A method for managing a plurality of device-exchange stations, the method comprising:

determining a score for each of the plurality of device-exchange stations based on an availability of energy storage devices positioned in each of the device-exchange stations;

determining a sequence of the plurality of device-exchange stations based on the score of each of the device-exchange stations;

determining a price rate for each of the device-exchange stations by mapping the sequence of the device-exchange stations to a characteristic curve corresponding to a distribution of the price rate; and

displaying the price rate on a user interface.

2. The method of claim 1 , wherein the characteristic curve is determined based on an expectation value and a range of the price rate, and wherein the expectation value and the range of the price rate are determined based on a user input.

3. The method of claim 1 , wherein the characteristic curve is determined based on a normal distribution curve.

4. The method of claim 1 , wherein the score is derived from an available energy-storage-device count.

5. The method of claim 4 , further comprising determining the available energy-storage-device count based on a difference between a predicted device demand and a predicted device supply.

6. The method of claim 1 , further comprising adjusting the price rate of at least two device-exchange stations of the device-exchange stations that are adjacent to each other by averaging the price rates of the at least two device-exchange stations of the device-exchange stations.

7. The method of claim 1 , wherein:

at least two first device-exchange stations of the device-exchange stations are located in a first administrative district;

at least two second device-exchange stations of the device-exchange stations are located in a second administrative district;

the method further comprises:

generating a first adjusted price rate for each of the first device-exchange stations based on a first sub-characteristic curve; and

generating a second adjusted price rate for each of the second device-exchange stations based on a second sub-characteristic curve.

8. The method of claim 7 , wherein a first average of the first adjusted rates for the first device-exchange stations is generally the same as a second average of the second adjusted rates for the second device-exchange stations.

9. The method of claim 1 , further comprising:

dividing the device-exchange stations into at least two sets of device-exchange stations based on adjacency of the device-exchange stations;

creating a sub-sequence for the device-exchange stations in each of the at least two sets; and

adjusting the price rate for each of the device-exchange stations in each of the at least two sets by mapping the sub-sequence to a sub-characteristic curve.

10. The method of claim 1 , further comprising adjusting a sell-back price rate of at least one device-exchange station of the device-exchange stations based on the price rate of the at least one device-exchange station so as to provide an incentive to a user to sell back a charged battery.

11. The method of claim 1 , further comprising:

dividing the plurality of device-exchange stations into first and second clusters;

and

adjusting the characteristic curve to form a first characteristic curve for the first cluster and to form a second characteristic curve for the second cluster.

12. A system for managing a plurality of device-exchange stations, the system comprising:

a processor configured to—

determine a score for each of the plurality of device-exchange stations based on an availability of energy storage devices positioned in each of the device-exchange stations;

determine a sequence of the plurality of device-exchange stations based on the score of each of the device-exchange stations; and

determine a price rate for each of the device-exchange stations by mapping the sequence of the device-exchange stations to a characteristic curve corresponding to a distribution of the price rate, wherein the price rate is to be displayed on a user interface.

13. The system of claim 12 , wherein the characteristic curve is determined based on an expectation value and a range of the price rate, and wherein the expectation value and the range of the price rate are determined based on a user input.

14. The system of claim 12 , wherein the score is derived from an available energy-storage-device count, and wherein the processor is configured to determine the available energy-storage-device count based on a difference between a predicted device demand and a predicted device supply.

15. A method for balancing available energy among multiple battery-exchange stations, the method comprising:

receiving battery demand information from multiple sampling battery exchange stations;

generating a characteristic function based on the received battery demand information, wherein the characteristic function is determined based on an energy ratio and a battery price rate, wherein the energy ratio is determined based on a battery energy level associated with a battery exchange event and an available battery count associated with the battery exchange event, and wherein the battery price rate is determined based on a characteristic curve corresponding to a distribution of price rates;

determining a battery price for each of the multiple battery-exchange stations based on the characteristic function; and

displaying the price rate on a user interface.

16. The method of claim 15 , further comprising generating a notice to motivate a user to exchange a battery based on the determined battery price.

17. The method of claim 15 , further comprising:

dividing the battery demand information into multiple clusters based on battery demand time interval, a battery station type, and a battery exchange number of the cluster.

18. The method of claim 17 , further comprising:

generating the characteristic function for each of the clusters.

19. The method of claim 18 , further comprising:

determining the battery price for each cluster based on the characteristic function.

20. The method of claim 19 , wherein the characteristic function is generated based on a generic algorithm (GA), and wherein the multiple clusters are determined based on a K-means clustering algorithm.