SYSTEM AND METHOD FOR AUTOMATED DEMAND CHARGE MANAGEMENT

• US 20140214459A1
• Filed: 01/29/2013
• Published: 07/31/2014
• Est. Priority Date: 01/29/2013
• Status: Abandoned Application

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Ryder, Geoffrey, Stelzer, Timo, Brinkmann, Daniel
• Application Number:
  US13/753,030
• Publication Number:
  US 20140214459A1
• Time in Patent Office: Days
• US Class Current: 705/5
• CPC Class Codes: B60L 2240/72 Charging station selection relying on external data
• CPC Class Codes: B60L 2240/80 Time limits
• CPC Class Codes: B60L 2260/50 by future state prediction
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: B60L 53/67 Controlling two or more charging stations
• CPC Class Codes: B60L 53/68 Off-site monitoring or control, e.g. remote control
• CPC Class Codes: B60L 55/00 Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 30/0645 Rental transactions; Leasing transactions
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• 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 10/72 Electric energy management in electromobility
• 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 10/126 the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
• CPC Class Codes: Y04S 50/10 : Energy trading, including energy flowing from end-user application to grid

Abstract

The disclosure relates to a system and method for managing demand charge tariffs for electric power, in particular, providing economic energy management for charging electric vehicles at public charge stations. The system and method may include collecting, by an infrastructure service cloud, information related to electric vehicle charging from a plurality of interested parties and calculating a particularized offer to a customer based on customer'"'"'s characteristics compared to other possible customers in a same time period. The system and method may also include transmitting the particularized offer to the customer and upon receiving an acceptance of the particularized offer, reserving the charge spot for the driver.

Claims

1. A method for calculating a charging offer, comprising:

collecting, by an infrastructure service cloud, information related to electric vehicle charging from a plurality of interested parties;

calculating a particularized offer to a customer based on the customer'"'"'s characteristics compared to other possible customers in a same time period;

transmitting the particularized offer to the customer;

upon receiving an acceptance of the particularized offer, reserving the charge spot for the driver.

2. The method of claim 1, wherein the interested parties include at least one from a group consisting of utility companies, retailer chains, and electric vehicle service providers.

3. The method of claim 1, wherein a profitability level of the customer is calculated and compared to profitability levels of other possible customers in the same time period.

4. The method of claim 1, wherein the particularized offer calculation is also based on demand charges of electricity usage by the charge spot.

5. The method of claim 1, wherein the particularized offer calculation is also based on the probability of the customer accepting the offer.

6. The method of claim 1, wherein the particularized offer calculation is performed using in-memory database (IMDB) calculations.

7. The method of claim 1, wherein the particularized offer is pushed to the customer when the customer drives by a designated spot without requesting an offer.

8. A non-transitory machine-readable medium storing instructions adapted to be executed by a computer to perform a method comprising:

collecting information related to electric vehicle charging from a plurality of interested parties;

calculating a particularized offer to a customer based on the customer'"'"'s characteristics compared to other possible customers in a same time period;

transmitting the particularized offer to the customer;

upon receiving an acceptance of the particularized offer, reserving the charge spot for the driver.

9. The non-transitory machine-readable medium of claim 8, wherein the interested parties include at least one from a group consisting of utility companies, retailer chains, and electric vehicle service providers.

10. The non-transitory machine-readable medium of claim 8, wherein a profitability level of the customer is calculated and compared to profitability levels of other possible customers in the same time period.

11. The non-transitory machine-readable medium of claim 8, wherein the particularized offer calculation is also based on demand charges of electricity usage by the charge spot.

12. The non-transitory machine-readable medium of claim 8, wherein the particularized offer calculation is also based on the probability of the customer accepting the offer.

13. The non-transitory machine-readable medium of claim 8, wherein the particularized offer calculation is performed using in-memory database (IMDB) calculations.

14. The non-transitory machine-readable medium of claim 8, wherein the particularized offer is pushed to the customer when the customer drives by a designated spot without requesting an offer.

15. A system, comprising:

a memory to store computer program instructions; and

a processor coupled to the memory to execute the computer program instructions to;

collect information related to electric vehicle charging from a plurality of interested parties;

calculate a particularized offer to a customer based on the customer'"'"'s characteristics compared to other possible customers in a same time period;

transmit the particularized offer to the customer;

upon receiving an acceptance of the particularized offer, reserve the charge spot for the driver.

16. The system of claim 15, wherein the interested parties include at least one from a group consisting of utility companies, retailer chains, and electric vehicle service providers.

17. The system of claim 15, wherein a profitability level of the customer is calculated and compared to profitability levels of other possible customers in the same time period.

18. The system of claim 15, wherein the particularized offer calculation is also based on demand charges of electricity usage by the charge spot.

19. The system of claim 15, wherein the particularized offer calculation is also based on the probability of the customer accepting the offer.

20. The system of claim 15, wherein the particularized offer calculation is performed using in-memory database (IMDB) calculations.