Systems and methods for autonomous vehicle battery delivery and electric vehicle routing

Patent metadata

Field	Value
Publication number	US-12583358-B2
Application number	US-202217947625-A
Country	US
Kind code	B2
Filing date	Sep 19, 2022
Priority date	Jun 10, 2022
Publication date	Mar 24, 2026
Grant date	Mar 24, 2026

Abstract

A computer-implemented method of monitoring one or more batteries of an electric vehicle (EV) includes (i) detecting an indication of a battery failure event for an electric vehicle; (ii) determining a response to the battery failure event based upon the indication; (iii) determining, based upon the battery failure event, an assistance location for the electric vehicle; (iv) generating a route from a location of an autonomous vehicle to the assistance location for the electric vehicle; and (v) transmitting a command to the autonomous vehicle to drive to the assistance location for the electric vehicle, wherein the command includes the response to the battery failure event and the route from the location of the autonomous vehicle to the assistance location.

First claim

What is claimed:

1 . A computer-implemented method for addressing a failure event associated with a battery for an electric vehicle in an emergency situation, the computer-implemented method comprising:
detecting, by one or more processors, an indication of a battery failure event for an electric vehicle; determining, by the one or more processors, a response to the battery failure event based upon the indication; determining, by the one or more processors and based upon the battery failure event, an assistance location for the electric vehicle; generating, by the one or more processors, a route from a location of an autonomous vehicle to the assistance location for the electric vehicle; and transmitting, by the one or more processors, a command to the autonomous vehicle that, when received, causes the autonomous vehicle to drive to the assistance location for the electric vehicle, wherein the command includes the response to the battery failure event and the route from the location of the autonomous vehicle to the assistance location.

2 . The computer-implemented method of claim 1 , wherein the response to the battery failure event includes an indication for the autonomous vehicle to transport one or more replacement batteries to the assistance location.

3 . The computer-implemented method of claim 2 , wherein:
determining the route from the location of the autonomous vehicle to the assistance location includes determining one or more additional stops for the autonomous vehicle; and the command causes the autonomous vehicle to travel to the one or more additional stops and receive the one or more replacement batteries.

4 . The computer-implemented method of claim 1 , wherein the response to the battery failure event includes an indication for the autonomous vehicle to drive to the assistance location and provide a charge to the battery of the electric vehicle.

5 . The computer-implemented method of claim 4 , further comprising:
determining a location of a nearest charging station; calculating a required charge needed for the electric vehicle to reach the location of the nearest charging station; and providing, to a user, an estimated charge time needed to reach the location of the nearest charging station based upon the required charge.

6 . The computer-implemented method of claim 1 , further comprising:
predicting a predicted future location for the electric vehicle; wherein the assistance location is the predicted future location.

7 . The computer-implemented method of claim 6 , wherein the predicting the predicted future location is based upon the battery failure event.

8 . The computer-implemented method of claim 1 , further comprising:
determining one or more locations of one or more autonomous vehicles; and determining a closest autonomous vehicle of the one or more autonomous vehicles; wherein the autonomous vehicle is the closest autonomous vehicle of the one or more autonomous vehicles.

9 . The computer-implemented method of claim 1 , further comprising:
determining one or more locations of one or more autonomous vehicles; and determining a chosen autonomous vehicle of the one or more autonomous vehicles in a final portion of a trip; wherein the autonomous vehicle is the chosen autonomous vehicle.

10 . The computer-implemented method of claim 1 , wherein the indication of the battery failure event for the electric vehicle includes at least one of: (i) user correspondence; (ii) automatic correspondence from software associated with the electric vehicle; and (iii) output from a battery monitoring program associated with the battery.

11 . A computing system for addressing a failure event associated with a battery for an electric vehicle in an emergency situation, the computing system comprising:
a transceiver configured to communicate with an autonomous vehicle via at least one network connection; a memory storing computer-executable instructions; and one or more processors interfacing with the transceiver and the memory, and configured to execute the computer-executable instructions to cause the one or more processors to: detect an indication of a battery failure event for an electric vehicle; determine a response to the battery failure event based upon the indication; determine, based upon the battery failure event, an assistance location for the electric vehicle; generate a route from a location of an autonomous vehicle to the assistance location for the electric vehicle; and transmit a command to the autonomous vehicle that, when received, causes the autonomous vehicle to drive to the assistance location for the electric vehicle, wherein the command includes the response to the battery failure event and the route from the location of the autonomous vehicle to the assistance location.

12 . The computing system of claim 11 , wherein the response to the battery failure event includes an indication for the autonomous vehicle to transport one or more replacement batteries to the assistance location.

13 . The computing system of claim 12 , wherein:
determining the route from the location of the autonomous vehicle to the assistance location includes determining one or more additional stops for the autonomous vehicle; and the command causes the autonomous vehicle to travel to the one or more additional stops and receive the one or more replacement batteries.

14 . The computing system of claim 11 , wherein the response to the battery failure event includes an indication for the autonomous vehicle to drive to the assistance location and provide a charge to the battery of the electric vehicle.

15 . The computing system of claim 14 , wherein the memory further stores instructions that, when executed by the one or more processors, cause the computing system to:
determine a location of a nearest charging station; calculate a required charge needed for the electric vehicle to reach the location of the nearest charging station; and provide, to a user, an estimated charge time needed to reach the location of the nearest charging station based upon the required charge.

16 . The computing system of claim 11 , wherein the memory further stores instructions that, when executed by the one or more processors, cause the computing system to:
predict a predicted future location for the electric vehicle; wherein the assistance location is the predicted future location.

17 . The computing system of claim 16 , wherein predicting the predicted future location is based upon the battery failure event.

18 . The computing system of claim 11 , wherein the memory further stores instructions that, when executed by the one or more processors, cause the computing system to:
determine one or more locations of one or more autonomous vehicles; and determine a closest autonomous vehicle of the one or more autonomous vehicles; wherein the autonomous vehicle is the closest autonomous vehicle of the one or more autonomous vehicles.

19 . The computing system of claim 11 , wherein the memory further stores instructions that, when executed by the one or more processors, cause the computing system to:
determine one or more locations of one or more autonomous vehicles; and determine a chosen autonomous vehicle of the one or more autonomous vehicles in a final portion of a trip; wherein the autonomous vehicle is the chosen autonomous vehicle.

20 . The computing system of claim 11 , wherein the indication of the battery failure event for the electric vehicle

Assignees

• State Farm Mutual Automobile Insurance Co

Inventors

• Gross Ryan Michael
• Megyese Matthew S
• Harr Joseph P
• Christensen Scott Thomas
• King Vicki
• Harbaugh Shawn Renee

Classifications

• Y02T10/70

  Energy storage systems for electromobility, e.g. batteries · CPC title

• G01C21/3469

  Fuel consumption; Energy use; Emission aspects · CPC title

• G01C21/3461

  Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types or segments such as motorways, toll roads or ferries · CPC title

• B60W2510/18

  Braking system · CPC title

• B60W60/0023

  in response to energy consumption · CPC title