IP Library › Granted Patent US 12,228,414
Granted Patent B2
US 12,228,414 · App. 17/530,067 · Granted Feb 18, 2025

Emission-optimized vehicle route and charging

Inventor: William Vreeland (Palo Alto, CA)
Assignee: Rivian IP Holdings, LLC
G01C21/3469G01C21/3682
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Quick Facts
Patent No.
US 12,228,414
App. No.
17/530,067
Granted
Feb 18, 2025
Kind
B2
Abstract

Systems and methods for vehicle route planning are disclosed. The system is configured to identify one or more charging stations based on one or more geographic locations selected for route planning. The system is also configured to analyze carbon emissions data for the one or more charging stations based on utility grid locations associated therewith. The system is further configured to determine a route associated with the one or more geographic locations and select at least one charging station on the route for charging of a vehicle based on analysis of the carbon emissions data associated with the one or more charging stations. The system is still further configured to provide the route and the at least one charging station to a user for navigation of the vehicle.

Claims (45)

1. A vehicle route planning system comprising:

a display comprising a user interface;

a data aggregation system aggregating carbon emissions data; and

a system comprising one or more processors and a memory storing computer-executable instructions that, when executed, cause the one or more processors to:

identify a plurality of charging stations based on one or more geographic locations selected for route planning;

receive the carbon emissions data from the data aggregation system and analyze the carbon emissions data for the plurality of charging stations based on utility grid locations associated therewith;

determine a route to the one or more geographic locations by selecting a set of vehicle charging stations that minimizes vehicle charging station carbon emissions, the set of vehicle charging stations being included in the plurality of charging stations;

display the route and the set of charging stations to a user on the display and simultaneously display another route associated with the one or more geographic locations that is thresholded based on another factor to the user on the display;

receive a selection from the user of the route that minimizes vehicle charging station carbon emissions via the user interface; and

responsive to the selection from the user, display only the route and the set of charging stations to the user on the display for navigation of the vehicle.

2. The route planning system of claim 1 , wherein the system is chosen from one of a cloud system, a user device, and a combination of the cloud system and the user device, and wherein the user device is chosen from one of a controller of the vehicle and a mobile device.

3. The route planning system of claim 1 , wherein displaying the route and the set of charging stations to the user includes presenting a route map on the user interface that illustrates the route and demarks charging station icons to identify the set of charging stations.

4. The route planning system of claim 1 , wherein the carbon emissions data includes at least one type of data chosen from real-time carbon emissions data, historical carbon emissions data, and projected carbon emissions data.

5. The route planning system of claim 1 , wherein the instructions, when executed, cause the one or more processors to:

determine the another route associated with the one or more geographic locations based on a thresholds selected from travel time and travel distance; and

determine a charging station on the another route that minimizes travel time or travel distance based on the analysis of the carbon emissions data associated with the plurality of charging stations.

6. The route planning system of claim 1 , wherein the instructions, when executed, cause the one or more processors to:

obtain renewable energy data from the plurality of charging stations that include renewable energy sources, wherein analyzing the carbon emissions data for the plurality of charging stations is further based on the renewable energy data.

7. A method for vehicle route planning comprising:

identifying a plurality of charging stations based on one or more geographic locations selected for route planning;

receiving carbon emissions data from a data aggregation system and analyzing the carbon emissions data for the plurality of charging stations based on utility grid locations associated therewith;

determining a route to the one or more geographic locations by selecting a set of vehicle charging stations that minimizes vehicle charging station carbon emissions, the set of vehicle charging stations being included in the plurality of charging stations;

displaying the route and the set of charging stations to a user on a display and simultaneously displaying another route associated with the one or more geographic locations that is thresholded based on another factor to the user on the display;

receiving a selection from the user of the route that minimizes vehicle charging station carbon emissions via a user interface of the display; and

responsive to the selection from the user, displaying only the route and the set of charging stations to the user on the display for navigation of the vehicle.

8. The method of claim 7 , wherein displaying the route and the set of charging stations to the user includes presenting a route map on the user interface that illustrates the route and demarks charging station icons to identify the set of charging stations.

9. The method of claim 7 , wherein the carbon emissions data includes at least one type of data chosen from real-time carbon emissions data, historical carbon emissions data, and projected carbon emissions data.

10. The method of claim 7 , further comprising:

determining the another route associated with the one or more geographic locations based on a thresholds selected from travel time and travel distance; and

determining a charging station on the another route that minimizes travel time or travel distance based on the analysis of the carbon emissions data associated with the plurality of charging stations.

11. The method of claim 7 , further comprising mapping each of the plurality of charging stations to respective utility grid locations and obtaining the carbon emissions data for the respective utility grid locations.

12. The method of claim 7 , further comprising obtaining renewable energy data from the plurality of charging stations that include renewable energy sources, wherein analyzing the carbon emissions data for the plurality of charging stations is further based on the renewable energy data.

13. A non-transitory computer-readable storage medium having computer-readable code stored thereon for programming one or more processors to perform steps of:

identifying a plurality of charging stations based on one or more geographic locations selected for route planning;

receiving carbon emissions data from a data aggregation system and analyzing the carbon emissions data for the plurality of charging stations based on utility grid locations associated therewith;

determining a route to the one or more geographic locations by selecting a set of vehicle charging stations that minimizes vehicle charging station carbon emissions, the set of vehicle charging stations being included in the plurality of charging stations;

displaying the route and the set of charging stations to a user on a display and simultaneously displaying another route associated with the one or more geographic locations that is thresholded based on another factor to the user on the display;

receiving a selection from the user of the route that minimizes vehicle charging station carbon emissions via a user interface of the display; and

responsive to the selection from the user, displaying only the route and the set of charging stations to the user on the display for navigation of the vehicle.

14. The non-transitory computer-readable storage medium of claim 13 , wherein displaying the route and the set of charging stations to the user includes presenting a route map on the user interface that illustrates the route and demarks charging station icons to identify the set of charging stations.

15. The non-transitory computer-readable storage medium of claim 13 , wherein the carbon emissions data includes at least one type of data chosen from real-time carbon emissions data, historical carbon emissions data, and projected carbon emissions data.

16. The non-transitory computer-readable storage medium of claim 13 , wherein the steps further include:

determining the another route associated with the one or more geographic locations based on a thresholds selected from travel time and travel distance; and

determining a charging station on the another route that minimizes travel time or travel distance based on the analysis of the carbon emissions data associated with the plurality of charging stations.

17. The non-transitory computer-readable storage medium of claim 13 , wherein the steps include obtaining renewable energy data from the plurality of charging stations that include renewable energy sources, wherein analyzing the carbon emissions data for the plurality of charging stations is further based on the renewable energy data.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2021
From: VREELAND, WILLIAM
To: RIVIAN AUTOMOTIVE, LLC
Reel/Frame 058161/0417 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2021
From: RIVIAN AUTOMOTIVE, LLC
To: RIVIAN IP HOLDINGS, LLC
Reel/Frame 058161/0558 →
Continuity (1)
Related Publication 20230152108A1 · May 18, 2023
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