SYSTEM AND METHOD FOR FACILITATING STRATEGIC INSTALLATION OF CHARGING PORTS FOR ELECTRIC VEHICLES

• US 20160110745A1
• Filed: 10/15/2014
• Published: 04/21/2016
• Est. Priority Date: 10/15/2014
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Iannace, Marianne, Lee, Edward M.
• Application Number:
  US14/515,405
• Publication Number:
  US 20160110745A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60L 53/65 involving identification of vehicles or their battery types
• CPC Class Codes: B60L 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G07F 15/005 dispensed for the electrical charging of vehicles electrical charging as such, B60L50/00
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 90/12 Electric charging stations
• CPC Class Codes: Y02T 90/14 Plug-in electric vehicles
• CPC Class Codes: Y02T 90/16 Information or communication technologies improving the operation of electric vehicles
• CPC Class Codes: Y02T 90/167 Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 30/14 Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

Methods and systems facilitate strategic installation of charging ports for charging electric vehicles. Transaction information associated with financial transactions executed using payment cards is analyzed to determine identification (ID) proxies for consumers, charging locations, and reference locations. Predictors are used to determine outputs that facilitate strategic installation of charging ports.

Claims

1. A system for facilitating strategic installation of charging ports for electric vehicles, the system comprising:

a processing server configured to receive a first set of transaction information from a payment processing system, wherein the payment processing system is configured to receive the first set of transaction information from a point-of-sale (POS) device disposed at a charging location and associated with a first charging port at the charging location, the POS device being configured to extract payment card information from payment cards and to generate the first set of transaction information that includes the payment card information, wherein each payment card is capable of facilitating a transaction originating at the POS device, the processing server comprising;

a storage component, wherein the storage component contains (1) the first set of transaction information, and (2) a second set of transaction information, wherein the second set of transaction information comprises information associated with a second set of transactions completed using the payment cards, wherein each transaction of the second set of transactions originates at a location different from the first charging location;

an identification (ID) proxy component configured to develop ID proxies, wherein each of the ID proxies corresponds to one of the payment cards such that there is a one-to-one correspondence between the ID proxies and the payment cards;

a reference location component configured to determine reference locations, each corresponding to one of the ID proxies; and

a predictor configured to determine an output used to facilitate strategic installation of a second charging port, wherein the output is based on at least one of the first set of transaction information, the second set of transaction information, and the reference locations.

2. The system of claim 1, wherein the predictor comprises a location predictor configured to determine a target location for installation of the second charging port.

3. The system of claim 2, further comprising:

a behavior modeler configured to (1) reference the second set of transaction information, and (2) generate, based on the reference locations and the second set of transaction information, a spending density map;

wherein the location predictor is configured to use the spending density map to determine the target location for installation of the second charging port.

4. The system of claim 1, wherein the predictor comprises a port predictor configured to determine a target number of ports for the charging location, wherein installation of the second charging port at the charging location facilitates reaching the target number of ports for the charging location.

5. The system of claim 4, further comprising a behavior modeler configured to (1) reference the first set of transaction information, and (2) determine metrics associated with the first set of transaction information, wherein the port predictor is configured to use the metrics to determine the target number of ports for the charging location.

6. The system of claim 1, wherein the reference location component is configured to determine the reference locations by receiving residence locations from a payment card issuer, wherein each of the residence locations comprises at least a portion of an address of a cardholder.

7. The system of claim 1, wherein the reference location component is configured to determine the reference locations by (1) analyzing a set of spending behaviors associated with each of the ID proxies, and (2) developing reference location proxies based on the analyzed spending behaviors.

8. A method for facilitating strategic installation of charging ports for electric vehicles, the method comprising:

identifying a first charging port at a charging location, wherein a point-of-sale (POS) device is disposed at the charging location and is associated with the first charging port, the POS device being configured to extract payment card information from payment cards and to generate a first set of transaction information that includes the payment card information, wherein each payment card is capable of facilitating a transaction originating at the POS device;

referencing the first set of transaction information;

developing identification (ID) proxies, wherein each of the ID proxies corresponds to one of the payment cards such that there is a one-to-one correspondence between the ID proxies and the payment cards;

determining reference locations, each corresponding to one of the ID proxies;

referencing a second set of transaction information, wherein the second set of transaction information comprises information associated with a second set of transactions completed using the payment cards, wherein each transaction of the second set of transactions originates at a location different from the charging location;

generating, based on the reference locations and the second set of transaction information, a spending density map comprising indications, for each of the ID proxies, of spending behaviors in a geographic region; and

determining, using the spending density map, a target location for installation of a second charging port.

9. The method of claim 8, further comprising:

determining metrics associated with the first set of transaction information; and

determining, based on the metrics, a target number of ports for the charging location.

10. The method of claim 8, wherein determining the reference locations comprises receiving residence locations from a payment card issuer, wherein each of the residence locations comprises at least a portion of an address of a cardholder.

11. The method of claim 8, the reference locations comprising residential postal code proxies, wherein determining the reference locations comprises:

analyzing the spending behaviors associated with each of the ID proxies; and

developing the residential postal code proxies based on the analyzed spending behaviors.

12. The method of claim 8, wherein the spending behaviors comprise at least one of an indication of a merchant location, an indication of a transaction frequency corresponding to a merchant location, an indication of a transaction frequency corresponding to an ID proxy, an indication of an amount spent corresponding to a transaction, an indication of a distance between one of the reference locations and a merchant location, and an amount of time that a charging port customer, represented by an ID proxy, spends at a merchant location.

13. The method of claim 8, wherein determining the target location for installation of the second charging port comprises applying a predictive model.

14. The method of claim 13, wherein the predictive model comprises a nearest-neighbor model.

15. The method of claim 14, wherein applying the nearest-neighbor model comprises:

determine a charging distance threshold, the charging distance threshold comprising an average minimum charging distance, wherein a charging distance comprises a distance between a reference location and a charging port;

identifying a plurality of spending centers, wherein each of the plurality of spending centers corresponds to one or more of the ID proxies;

selecting a seed location associated with a first spending center, wherein the seed location comprises a selected location on the spending density map;

identifying a cluster of spending centers, the cluster of spending centers including the first spending center and at least one second spending center, the at least one second spending center including an existing charging port, wherein each spending center corresponds to at least one charging distance that is greater than the charging distance threshold; and

classifying the seed location as the target location for installation of the second charging port by analyzing attributes associated with each spending center, the attributes comprising at least a portion of the second set of transaction information and charging distances.

16. The method of claim 15, further comprising assigning weights to the charging distances.

17. A system for facilitating strategic installation of charging ports for electric vehicles, the system comprising:

a retention device having executable instructions embodied thereon; and

a processor configured to execute instructions to instantiate components, the components comprising;

an input/output (I/O) component configured to receive a first set of transaction information from a point-of-sale (POS) device, the POS device being associated with a first charging port at a charging location, the POS device being configured to extract payment card information from payment cards and to generate the set of transaction information that includes the payment card information, wherein each payment card is capable of facilitating a transaction originating at the POS device;

a storage component configured to store (1) the first set of transaction information, and (2) a second set of transaction information, wherein the second set of transaction information comprises information associated with a second set of transactions completed using the payment cards, wherein each transaction of the second set of transactions originates at a location different from the charging location;

an identification (ID) proxy component configured to develop ID proxies, wherein each of the ID proxies corresponds to one of the payment cards such that there is a one-to-one correspondence between the ID proxies and the payment cards;

a reference location component configured to determine reference locations, each corresponding to one of the ID proxies; and

a predictor configured to determine an output used to facilitate strategic installation of a second charging port, wherein the output is based on at least one of the first set of transaction information, the second set of transaction information, and the reference locations.

18. The system of claim 18, wherein the predictor comprises at least one of a location predictor configured to determine a target location for installation of the second charging port and a port predictor configured to determine a target number of ports for the charging location, wherein installation of the second charging port at the charging location facilitates reaching the target number of ports for the charging location.

19. A method for facilitating strategic installation of charging ports for electric vehicles, the method comprising:

identifying a charging port, wherein a point-of-sale (POS) device is associated with the charging port, the POS device being configured to extract payment card information from payment cards and to generate a set of transaction information that includes the payment card information, wherein each payment card is capable of facilitating a transaction originating at the POS device;

referencing the set of transaction information;

developing identification (ID) proxies, wherein each of the ID proxies corresponds to one of the payment cards such that there is a one-to-one correspondence between the ID proxies and the payment cards;

determining a plurality of metrics associated with the set of transaction information; and

determining, based on the plurality of metrics, a target number of ports for the charging location.

20. The method of claim 19, wherein determining the target number of ports comprises utilizing at least one of an exploratory data analysis (EDA) and a predictive model.