EDGE-CENTRIC TECHNIQUES AND TECHNOLOGIES FOR MONITORING ELECTRIC VEHICLES

Abstract

The present disclosure is generally related to connected vehicles, computer-assisted and/or autonomous driving vehicles, Internet of Vehicles (IoV), Intelligent Transportation Systems (ITS), and Vehicle-to-Everything (V2X) technologies, and in particular, to technologies and techniques of a road usage monitoring (RUM) service for monitoring road usage of electric vehicles. The RUM service can be implemented or operated by individual electric vehicles, infrastructure nodes, edge compute nodes, cloud computing services, electric vehicle supply equipment, and/or combinations thereof. Additional RUM aspects may be described and/or claimed.

Description

Claims

1. A vehicle station, comprising: positioning circuitry to generate positioning information of the vehicle station based on mobility of the vehicle station;processor circuitry connected to the positioning circuitry, wherein the processor is to operate to a road usage monitoring service (RUM) to: determine RUM information of the vehicle station based on the positioning information, wherein the RUM information includes road usage data of the vehicle station, andgenerate a RUM message to include the determined RUM information; andcommunication circuitry connected to the processor circuitry, wherein the communication circuitry is to transmit the RUM message to an infrastructure node.

2. The vehicle station of claim 1, wherein the processor circuitry is to operate the RUM to: receive mapping data from a mapping service;determine a travel route based on the positioning information;determine one or more geographical areas (geo-areas) through which the vehicle station travelled based on the determined travel route; andgenerate the RUM information to include the one or more geo-areas.

3. The vehicle station of claim 2, wherein the processor circuitry is to operate the RUM to generate the RUM information to include: a vehicle identifier (ID) of the vehicle station, a start timestamp for the road usage data, an end timestamp for the road usage data, and a set of geo-area tuples, wherein each geo-area tuple of the set of geo-area tuples includes a geo-area ID and a corresponding distance travelled in a geo-area associated with the geo-area ID.

4. The vehicle station of claim 3, wherein the processor circuitry is to operate the RUM to: store the RUM information as a set of duration bins in local storage circuitry of the vehicle station.

5. The vehicle station of claim 1, wherein the processor circuitry is to operate the RUM to, in response to receipt of a RUM request from the infrastructure node: generate the RUM message; andcause the communication circuitry to transmit the RUM message.

6. The vehicle station of claim 1, wherein the processor circuitry is to operate the RUM to: determine the RUM information on a periodic basis.

7. The vehicle station of claim 1, wherein the vehicle station includes battery charging circuitry connected to the processor circuitry, and the processor circuitry is to operate the RUM to: obtain a set of battery parameters from the battery charging circuitry; anddetermine the RUM information based on the battery parameters.

8. The vehicle station of claim 7, wherein the processor circuitry is to operate the RUM to: obtain the set of battery parameters from the battery charging circuitry after a charging process has completed.

9. The vehicle station of claim 7, wherein the battery charging circuitry includes on-board charging circuitry and a battery management system.

10. The vehicle station of claim 1, wherein the vehicle station is a vehicle intelligent transport system station (ITS-S) and the infrastructure node is a roadside ITS-S or a central ITS-S, and wherein the RUM is an ITS-S application in an ITS applications layer or the RUM is an ITS-S facility in an ITS facilities layer.

11. The vehicle station of claim 10, wherein the central ITS-S is part of an edge compute node or a cloud computing service.

12. A method of operating a road usage monitoring (RUM) service, comprising: receiving, by an infrastructure node, a first RUM message from a vehicle station, wherein the first RUM message includes vehicle information related to mobility of the vehicle station;extracting, by the infrastructure node, the vehicle information from the first RUM message;generating, by the infrastructure node, a second RUM message including the extracted vehicle information; andtransmitting, by the infrastructure node, the second RUM message to a cloud-based RUM service.

13. The method of claim 12, wherein the vehicle information includes a vehicle identifier (ID) of the vehicle station, location data of the vehicle station, and heading direction of the vehicle station, and one or both of speed data of the vehicle station and a station type of the vehicle station.

14. The method of claim 13, wherein the method comprises: determining, by the infrastructure node, a travel distance of the vehicle station based on the location data and location data included in a previously received first RUM message from the vehicle station; andgenerating, by the infrastructure node, the second RUM message when the travel distance is larger than a threshold distance.

15. The method of claim 12, wherein the method comprises: receiving, by an infrastructure node, sensor data from respective sensors;performing, by the infrastructure node, environment perception based on the sensor data to identify the another vehicle station;generating, by the infrastructure node, the other vehicle information for the other vehicle station based on the environment perception; andtransmitting, by the infrastructure node, another second RUM message to the cloud-based RUM service.

16. The method of claim 12, wherein the vehicle station is a vehicle intelligent transport system station (ITS-S), the infrastructure node is a roadside ITS-S or a central ITS-S, and the cloud-based RUM service is part of the central ITS-S or a different central ITS-S.

17. The method of claim 16, wherein the central ITS-S is part of an edge compute node or a cloud computing service, and the other central ITS-S is part of an edge compute node or a cloud computing service.

18. One or more non-transitory computer readable medium comprising instructions of a road usage monitoring (RUM) service, wherein execution of the instructions by one or more processors of a compute node is to cause the compute node to: receive a RUM message from a vehicle station, wherein the RUM message includes vehicle information related to mobility of the vehicle station;obtain historic vehicle data from a RUM database;estimate a travel path of the vehicle station based on the vehicle information and the historic vehicle data;determine one or more geographical areas (geo-areas) through which the vehicle station travelled based on the determined travel path;estimate a distance travelled by the vehicle station based on the travel path and the determined one or more geo-areas; andstore the travel path, the one or more geo-areas, and the estimated distance in the RUM database.

19. The one or more non-transitory computer readable medium of claim 18, wherein execution of the instructions is to cause the compute node to: receive the RUM message via an infrastructure node.

20. The one or more non-transitory computer readable medium of claim 18, wherein the vehicle information includes a vehicle identifier (ID) of the vehicle station, location data of the vehicle station, and heading direction of the vehicle station, and one or both of speed data of the vehicle station and a station type of the vehicle station.

21. The one or more non-transitory computer readable medium of claim 18, wherein execution of the instructions is to cause the infrastructure node to: determine a road usage charge based on the estimated distance.

22. The one or more non-transitory computer readable medium of claim 18, wherein the vehicle station is a vehicle intelligent transport system station (ITS-S) and the compute node is a roadside ITS-S or a central ITS-S, and wherein the RUM is an ITS-S application in an ITS applications layer, or the RUM is an ITS-S facility in an ITS facilities layer.

23. The one or more non-transitory computer readable medium of claim 18, wherein the compute node is an edge compute node or a cloud computing service.

24. Electric vehicle supply equipment (EVSE) circuitry, comprising: a charge controller to control charging of a rechargeable battery of a vehicle station, and monitor an amount of charge applied to the rechargeable battery;processor circuitry connected to the charge controller, wherein the processor is to operate to a road usage monitoring service (RUM) to determine a road usage fee based on the amount of charge applied to the rechargeable battery; andcommunication circuitry connected to the processor circuitry, wherein the communication circuitry is to transmit the road usage fee to an infrastructure node or to a client application for display.

25. The EVSE circuitry of claim 24, wherein the EVSE is a direct current (DC) fast charger separate from the vehicle station, or the EVSE is an alternating current (AC) charger implemented by the vehicle station.