Electric Vehicle Exchange Management

• US 20170146354A1
• Filed: 11/25/2015
• Published: 05/25/2017
• Est. Priority Date: 11/25/2015
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Boss, Gregory J., Hamilton, II, Rick A., O'Connell, Brian M., Kozloski, James R., Pickover, Clifford A.
• Application Number:
  US14/951,916
• Publication Number:
  US 20170146354A1
• Time in Patent Office: Days
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: G01C 21/3407 specially adapted for specific applications
• CPC Class Codes: G01C 21/3438 Rendez-vous, i.e. searching a destination where several users can meet, and the routes to this destination for these users; Ride sharing, i.e. searching a route such that at least two users can share a vehicle for at least part of the route
• CPC Class Codes: G01S 19/38 Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
• CPC Class Codes: G06Q 30/0645 Rental transactions; Leasing transactions
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0866 the electronic data carrier being a digital video recorder in combination with video camera
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 90/16 Information or communication technologies improving the operation of electric vehicles

Abstract

Managing an electric vehicle exchange is provided. An available electric vehicle having a highest exchange score is selected to perform an exchange at a selected charging station with another electric vehicle that has an insufficient battery charge level to reach a travel destination of the another electric vehicle. In response to determining that a current battery charge level of the available electric vehicle is sufficient to reach the travel destination of the another electric vehicle, it is determined whether the exchange will allow the available electric vehicle to reach a travel destination of the available electric vehicle. In response to determining that the exchange will allow the available electric vehicle to reach the travel destination of the available electric vehicle, routing information is sent via a network to a navigation system of the available electric vehicle to the selected charging station.

Claims

1. A computer-implemented method for managing an electric vehicle exchange, the computer-implemented method comprising:

selecting, by a computer, an available electric vehicle having a highest exchange score to perform an exchange at a selected charging station with another electric vehicle that has an insufficient battery charge level to reach a travel destination of the another electric vehicle;

responsive to the computer determining that a current battery charge level of the available electric vehicle is sufficient to reach the travel destination of the another electric vehicle, determining, by the computer, whether the exchange will allow the available electric vehicle to reach a travel destination of the available electric vehicle; and

responsive to the computer determining that the exchange will allow the available electric vehicle to reach the travel destination of the available electric vehicle, sending, by the computer, routing information via a network to a navigation system of the available electric vehicle to the selected charging station.

2. The computer-implemented method of claim 1, wherein the computer performs the selecting of the available electric vehicle and selecting a geographic location for the exchange using at least one order embedding algorithm among an elastic map, a Sammon'"'"'s map, and a Kohonen map.

3. The computer-implemented method of claim 1 further comprising:

determining, by the computer, whether a user of the available electric vehicle agrees to the exchange at the selected charging station.

4. The computer-implemented method of claim 1 further comprising:

receiving, by the computer, the travel destination from a navigation system of the another electric vehicle via the network;

determining, by the computer, a current battery charge level of the another electric vehicle based on data received from a sensor system of the another electric vehicle; and

predicting, by the computer, a travel distance of the another electric vehicle at the current battery charge level of the another electric vehicle.

5. The computer-implemented method of claim 4 further comprising:

determining, by the computer, whether the travel destination of the another electric vehicle exceeds the travel distance of the another electric vehicle at the current battery charge level of the another electric vehicle; and

responsive to the computer determining that the travel destination of the another electric vehicle exceeds the travel distance of the another electric vehicle at the current battery charge level of the another electric vehicle, sending, by the computer, the routing information via the network to a navigation system of the another electric vehicle to the selected charging station within the travel distance of the another electric vehicle at the current battery charge level.

6. The computer-implemented method of claim 1 further comprising:

receiving, by the computer, a set of images via the network of a set of vehicle parts of the available electric vehicle and the another electric vehicle involved in the exchange at the selected charging station.

7. The computer-implemented method of claim 6 further comprising:

determining, by the computer, whether each vehicle part in the set of vehicle parts of the available electric vehicle and the another electric vehicle is included in the set of images;

identifying, by the computer, any vehicle damage in the set of images; and

authorizing, by the computer, the exchange at the selected charging station.

8. The computer-implemented method of claim 5, wherein each vehicle part in the set of vehicle parts of the available electric vehicle and the another electric vehicle include a quick response code.

9. The computer-implemented method of claim 8, wherein the quick response code is a fractal quick response code.

10. The computer-implemented method of claim 1, wherein the computer utilizes an object detection module to identify objects onboard the available electric vehicle and the another electric vehicle to facilitate the exchange.

11. The computer-implemented method of claim 1, wherein the computer utilizes a routing module to automatically estimate in real time travel routes for the available electric vehicle and the another electric vehicle to the selected charging station using GPS localization and a Bayesian model of routes that users of the available electric vehicle and the another electric vehicle are likely to take given current contexts and locations and what travel routes other users have previously taken to reach the selected charging station.

12. A computer system for managing an electric vehicle exchange, the computer system comprising:

a bus system;

a storage device connected to the bus system, wherein the storage device stores program instructions; and

a processor connected to the bus system, wherein the processor executes the program instructions to select an available electric vehicle having a highest exchange score to perform an exchange at a selected charging station with another electric vehicle that has an insufficient battery charge level to reach a travel destination of the another electric vehicle;

determine whether the exchange will allow the available electric vehicle to reach a travel destination of the available electric vehicle in response to determining that a current battery charge level of the available electric vehicle is sufficient to reach the travel destination of the another electric vehicle; and

send routing information via a network to a navigation system of the available electric vehicle to the selected charging station in response to determining that the exchange will allow the available electric vehicle to reach the travel destination of the available electric vehicle.

13. The computer system of claim 12, wherein the processor further executes the program instructions to perform selecting of the available electric vehicle and selecting a geographic location for the exchange using at least one order embedding algorithm among an elastic map, a Sammon'"'"'s map, and a Kohonen map.

14. A computer program product for managing an electric vehicle exchange, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

selecting, by the computer, an available electric vehicle having a highest exchange score to perform an exchange at a selected charging station with another electric vehicle that has an insufficient battery charge level to reach a travel destination of the another electric vehicle;

responsive to the computer determining that a current battery charge level of the available electric vehicle is sufficient to reach the travel destination of the another electric vehicle, determining, by the computer, whether the exchange will allow the available electric vehicle to reach a travel destination of the available electric vehicle; and

responsive to the computer determining that the exchange will allow the available electric vehicle to reach the travel destination of the available electric vehicle, sending, by the computer, routing information via a network to a navigation system of the available electric vehicle to the selected charging station.

15. The computer program product of claim 14, wherein the computer performs the selecting of the available electric vehicle and selecting a geographic location for the exchange using at least one order embedding algorithm among an elastic map, a Sammon'"'"'s map, and a Kohonen map.

16. The computer program product of claim 14 further comprising:

determining, by the computer, whether a user of the available electric vehicle agrees to the exchange at the selected charging station.

17. The computer program product of claim 14 further comprising:

receiving, by the computer, the travel destination from a navigation system of the another electric vehicle via the network;

determining, by the computer, a current battery charge level of the another electric vehicle based on data received from a sensor system of the another electric vehicle; and

predicting, by the computer, a travel distance of the another electric vehicle at the current battery charge level of the another electric vehicle.

18. The computer program product of claim 17 further comprising:

determining, by the computer, whether the travel destination of the another electric vehicle exceeds the travel distance of the another electric vehicle at the current battery charge level of the another electric vehicle; and

responsive to the computer determining that the travel destination of the another electric vehicle exceeds the travel distance of the another electric vehicle at the current battery charge level of the another electric vehicle, sending, by the computer, the routing information via the network to a navigation system of the another electric vehicle to the selected charging station within the travel distance of the another electric vehicle at the current battery charge level.

19. The computer program product of claim 14 further comprising:

receiving, by the computer, a set of images via the network of a set of vehicle parts of the available electric vehicle and the another electric vehicle involved in the exchange at the selected charging station.

20. The computer program product of claim 19 further comprising:

determining, by the computer, whether each vehicle part in the set of vehicle parts of the available electric vehicle and the another electric vehicle is included in the set of images;

identifying, by the computer, any vehicle damage in the set of images; and

authorizing, by the computer, the exchange at the selected charging station.